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1 Parent(s): fadf4ee

update scope-a task

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  1. Scope-A/S-A-Full/closeset_overall_task_dir_mapping.json +1913 -0
  2. Scope-A/S-A-Quick/3D/comprehension/3d_normal_estimation/annotation.json +219 -0
  3. Scope-A/S-A-Quick/3D/generation/point_cloud_2_mesh_object_reconstruction/annotation.json +119 -0
  4. Scope-A/S-A-Quick/3D/generation/point_cloud_2_mesh_scene_reconstruction/annotation.json +119 -0
  5. Scope-A/S-A-Quick/video/comprehension/AnimalComplexSceneReasoningVideoObjectSegmentation/annotation.json +0 -0
  6. Scope-A/S-A-Quick/video/comprehension/AnimalReasoningVideoObjectSegmentation/annotation.json +0 -0
  7. Scope-A/S-A-Quick/video/comprehension/AnimalReferringVideoObjectSegmentation/annotation.json +0 -0
  8. Scope-A/S-A-Quick/video/comprehension/AnimalVideoObjectSegmentation/annotation.json +0 -0
  9. Scope-A/S-A-Quick/video/comprehension/AnimalVisualGrounding/annotation.json +0 -0
  10. Scope-A/S-A-Quick/video/comprehension/AutomobileComplexSceneReasoningVideoObjectSegmentation/annotation.json +0 -0
  11. Scope-A/S-A-Quick/video/comprehension/AutomobileReasoningVideoObjectSegmentation/annotation.json +0 -0
  12. Scope-A/S-A-Quick/video/comprehension/AutomobileStreetSceneVideoObjectSegmentation/annotation.json +645 -0
  13. Scope-A/S-A-Quick/video/comprehension/AutomobileVideoObjectSegmentation/annotation.json +0 -0
  14. Scope-A/S-A-Quick/video/comprehension/AutomobileVisualGrounding/annotation.json +0 -0
  15. Scope-A/S-A-Quick/video/comprehension/BicycleStreetSceneVideoObjectSegmentation/annotation.json +645 -0
  16. Scope-A/S-A-Quick/video/comprehension/DynamicVideoDepthEstimation/annotation.json +74 -0
  17. Scope-A/S-A-Quick/video/comprehension/EquipmentComplexSceneReasoningVideoObjectSegmentation/annotation.json +0 -0
  18. Scope-A/S-A-Quick/video/comprehension/GeneralObjectsPartTrack/annotation.json +554 -0
  19. Scope-A/S-A-Quick/video/comprehension/HumanComplexSceneReasoningVideoObjectSegmentation/annotation.json +0 -0
  20. Scope-A/S-A-Quick/video/comprehension/HumanPartComplexSceneReasoningVideoObjectSegmentation/annotation.json +0 -0
  21. Scope-A/S-A-Quick/video/comprehension/HumanReasoningVideoObjectSegmentation/annotation.json +0 -0
  22. Scope-A/S-A-Quick/video/comprehension/HumanReferringVideoObjectSegmentation/annotation.json +0 -0
  23. Scope-A/S-A-Quick/video/comprehension/HumanStreetSceneVideoObjectSegmentation/annotation.json +645 -0
  24. Scope-A/S-A-Quick/video/comprehension/HumanVideoObjectSegmentation/annotation.json +0 -0
  25. Scope-A/S-A-Quick/video/comprehension/HumanVisualGrounding/annotation.json +0 -0
  26. Scope-A/S-A-Quick/video/comprehension/IntheWildAnimalVideoObjectSegmentation/annotation.json +0 -0
  27. Scope-A/S-A-Quick/video/comprehension/IntheWildAutomobileVideoObjectSegmentation/annotation.json +0 -0
  28. Scope-A/S-A-Quick/video/comprehension/IntheWildFurnitureVideoObjectSegmentation/annotation.json +0 -0
  29. Scope-A/S-A-Quick/video/comprehension/IntheWildHumanVideoObjectSegmentation/annotation.json +0 -0
  30. Scope-A/S-A-Quick/video/comprehension/PositionMatch/annotation.json +65 -0
  31. Scope-A/S-A-Quick/video/comprehension/SpatialTemporalDynamicActionDetection/annotation.json +0 -0
  32. Scope-A/S-A-Quick/video/comprehension/SpatialTemporalStaticActionDetection/annotation.json +0 -0
  33. Scope-A/S-A-Quick/video/comprehension/SportsVideoObjectSegmentation/annotation.json +0 -0
  34. Scope-A/S-A-Quick/video/comprehension/StaticVideoDepthEstimation/annotation.json +74 -0
  35. Scope-A/S-A-Quick/video/comprehension/StreetVideoDepthEstimation/annotation.json +64 -0
  36. Scope-A/S-A-Quick/video/comprehension/SyntheticVideoDepthEstimation/annotation.json +74 -0
Scope-A/S-A-Full/closeset_overall_task_dir_mapping.json ADDED
@@ -0,0 +1,1913 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "3D_comprehension": {
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+ "3D Accessory Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/accessory"
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+ },
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+ "3D Appliance Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/appliance"
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+ },
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+ "3D Tableware Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/tableware"
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+ },
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+ "3D Musical Instrument Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/musical_instrument"
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+ },
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+ "3D Person Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/person"
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+ },
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+ "3D Furniture Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/furniture"
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+ },
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+ "3D Structure Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/structure"
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+ },
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+ "3D Electronic Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/electronic"
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+ },
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+ "3D Vehicle Classification": {
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+ "matched_folder": "3d_classification/ModelNet40/vehicle"
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+ },
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+ "3D Indoor Appliance Semantic Segmentation": {
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+ "matched_folder": "3d_indoor_semantic_segmentation/scannet"
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+ },
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+ "3D Outdoor Semantic Segmentation": {
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+ "matched_folder": "3d_outdoor_semantic_segmentation/semantic_kitti"
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+ },
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+ "3D Indoor Instance Segmentation": {
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+ "matched_folder": "3d_outdoor_instance_segmentation/semantic_kitti"
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+ },
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+ "3D Odometry": {
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+ "matched_folder": "3d_outdoor_odometry/kitti_odometry"
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+ },
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+ "3D Aircrafts Part Segmentation": {
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+ "matched_folder": "3d_part_segmentation/aircrafts"
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+ },
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+ "3D Personal Item Part Segmentation": {
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+ "matched_folder": "3d_part_segmentation/personal_item"
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+ },
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+ "3D Vehicle Part Segmentation": {
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+ "matched_folder": "3d_part_segmentation/vehicles"
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+ },
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+ "3D Furniture Part Segmentation": {
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+ "matched_folder": "3d_part_segmentation/furniture"
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+ },
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+ "3D Tableware Part Segmentation": {
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+ "matched_folder": "3d_part_segmentation/tableware"
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+ },
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+ "3D Weapon Part Segmentation": {
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+ "matched_folder": "3d_part_segmentation/weapons"
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+ },
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+ "3D Normal Estimation": {
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+ "matched_folder": "3d_normal_estimation"
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+ }
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+ },
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+ "video_generation": {
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+ "Subject-Driven Text to Video Generation": {
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+ "matched_folder": "SubjectConsistencyT2V.zip"
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+ },
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+ "Background-Consistency Text to Video Geneation": {
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+ "matched_folder": "BackgroundConsistencyT2V.zip"
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+ },
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+ "Static Video Generation": {
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+ "matched_folder": "StaticT2V.zip"
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+ },
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+ "Dynamic Video Generation": {
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+ "matched_folder": "DynamicT2V.zip"
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+ },
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+ "Artistic Content Text to Video Generation": {
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+ "matched_folder": "ArtisticT2V.zip"
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+ },
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+ "Scene Text to Video Generation": {
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+ "matched_folder": "SceneT2V.zip"
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+ },
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+ "Class-Conditioned Text to Video Generation": {
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+ "matched_folder": "ClassConditionedT2V.zip"
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+ },
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+ "Multi-Class-Conditioned Text to Video Generation": {
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+ "matched_folder": "MultiClassConditionedT2V.zip"
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+ },
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+ "Stylized Video Generation-Single Reference": {
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+ "matched_folder": "StylizedVideoGenerationSingleReference.zip"
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+ },
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+ "Stylized Video Generation-Multiple Reference": {
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+ "matched_folder": "StylizedVideoGenerationMultipleReference.zip"
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+ },
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+ "Spatial Relation Video Generation": {
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+ "matched_folder": "SpatialRelationT2V.zip"
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+ },
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+ "Camera Motion Video Generation": {
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+ "matched_folder": "CameraMotionT2V.zip"
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+ },
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+ "Terrestrial Animal Video Generation": {
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+ "matched_folder": "TerrestrialAnimalT2V.zip"
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+ },
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+ "Style-Specific Text to Video Generation": {
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+ "matched_folder": "StyleT2V.zip"
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+ },
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+ "Color-Specific Text to Video Generation": {
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+ "matched_folder": "ColorT2V.zip"
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+ },
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+ "Material-Specific Text to Video Generation": {
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+ "matched_folder": "MaterialT2V.zip"
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+ },
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+ "Action-Specific Text to Video Generation": {
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+ "matched_folder": "ActionT2V.zip"
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+ },
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+ "Human Video Generation": {
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+ "matched_folder": "HumanT2V.zip"
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+ },
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+ "Athletics Video Generation": {
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+ "matched_folder": "AthleticsT2V.zip"
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+ },
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+ "Concert Video Generation": {
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+ },
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+ "Water Sports Video Generation": {
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+ "matched_folder": "WaterSportsT2V.zip"
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+ },
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+ "Plant Image to Video Generation": {
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+ "matched_folder": "PlantI2V.zip"
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+ },
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+ "Human Image to Video Generation": {
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+ "matched_folder": "HumanI2V.zip"
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+ },
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+ "Wild Animal Image to Video Generation": {
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+ "matched_folder": "WildAnimalI2V.zip"
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+ },
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+ "Architecture Image to Video Generation": {
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+ "matched_folder": "ArchitectureI2V.zip"
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+ },
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+ "Food Image to Video Generation": {
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+ "matched_folder": "FoodI2V.zip"
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+ },
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+ "Pet Image to Video Generation": {
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+ "matched_folder": "PetI2V.zip"
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+ },
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+ "Scene Image to Video Generation": {
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+ "matched_folder": "SceneI2V.zip"
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+ },
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+ "Vehicle Image to Video Generation": {
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+ "matched_folder": "VehicleI2V.zip"
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+ "matched_folder": "FurnitureI2V.zip"
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+ "Cloth Image to Video Generation": {
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+ "matched_folder": "ClothI2V.zip"
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+ "Weather Image to Video Generation": {
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+ "matched_folder": "WeatherI2V.zip"
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+ },
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+ "Video Object Demoireing": {
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+ "matched_folder": "VideoObjectDemoireing.zip"
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+ },
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+ "Video Denoising": {
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+ "matched_folder": "VideoDenoising.zip"
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+ },
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+ "Video Frame Interpolation": {
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+ "matched_folder": "VideoFrameInterpolation.zip"
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+ },
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+ "Video Colorization": {
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+ "matched_folder": "VideoColorization.zip"
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+ },
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+ "Video Dehazing": {
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+ "matched_folder": "VideoDehazing.zip"
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+ "Video Desnowing": {
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+ "matched_folder": "VideoDesnowing.zip"
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+ },
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+ "Video Deraining": {
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+ "matched_folder": "VideoDeraining.zip"
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+ },
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+ "Road Scene Video Superresolution": {
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+ "matched_folder": "RoadSceneVideoSuperresolution.zip"
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+ },
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+ "Real World Video Superresolution": {
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+ "matched_folder": "RealWorldVideoSuperresolution.zip"
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+ },
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+ "Video Animal Inpainting": {
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+ "matched_folder": "VideoAnimalInpainting.zip"
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+ },
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+ "Video Non-Animal Inpainting": {
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+ "matched_folder": "VideoNonAnimalInpainting.zip"
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+ },
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+ "Video Deblurring": {
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+ "matched_folder": "VideoDeblurring.zip"
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+ },
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+ "Video Translation": {
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+ "matched_folder": "VideoTranslation.zip"
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+ },
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+ "Portrait Video Style Transfer": {
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+ "matched_folder": "PortraitVideoStyleTransfer.zip"
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+ }
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+ },
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+ "Agriculture Video Question Answering": {
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+ "matched_folder": "AgricultureVideoQuestionAnswering.zip"
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+ },
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+ "Geography Video Question Answering": {
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+ "matched_folder": "GeographyVideoQuestionAnswering.zip"
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+ },
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+ "Human Survival Video Question Answering": {
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+ "matched_folder": "HumanSurvivalVideoQuestionAnswering.zip"
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+ },
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+ "Military Video Question Answering": {
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+ "matched_folder": "MilitaryVideoQuestionAnswering.zip"
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+ },
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+ "Comedy Video Question Answering": {
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+ "matched_folder": "ComedyVideoQuestionAnswering.zip"
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+ },
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+ "Movie Video Question Answering": {
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+ "matched_folder": "MovieVideoQuestionAnswering.zip"
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+ },
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+ "Science Video Question Answering": {
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+ "matched_folder": "ScienceVideoQuestionAnswering.zip"
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+ "Sports Video Question Answering": {
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+ "matched_folder": "SportsVideoQuestionAnswering.zip"
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+ },
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+ "Pets Video Question Answering": {
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+ "matched_folder": "PetsVideoQuestionAnswering.zip"
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+ },
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+ "Gymnastics Video Question Answering": {
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+ "matched_folder": "GymnasticsVideoQuestionAnswering.zip"
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+ },
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+ "Ball Game Video Question Answering": {
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+ "matched_folder": "BallGameVideoQuestionAnswering.zip"
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+ },
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+ "Object Color Video Question Answering": {
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+ "matched_folder": "ObjectColorVideoQuestionAnswering.zip"
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+ },
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+ "Object Motion Video Question Answering": {
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+ "matched_folder": "ObjectMotionVideoQuestionAnswering.zip"
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+ },
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+ "Object Location Video Question Answering": {
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+ "matched_folder": "ObjectLocationVideoQuestionAnswering.zip"
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+ },
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+ "Object Direction Video Question Answering": {
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+ "matched_folder": "ObjectDirectionVideoQuestionAnswering.zip"
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+ },
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+ "Education Video Question Answering": {
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+ "matched_folder": "EducationVideoQuestionAnswering.zip"
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+ },
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+ "Human-Object Interaction Video Question Answering": {
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+ "matched_folder": "HumanObjectInteractionVideoQuestionAnswering.zip"
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+ },
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+ "Pets Video Recognition": {
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+ "matched_folder": "PetsVideoRecognition.zip"
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+ },
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+ "Science Video Recognition": {
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+ "matched_folder": "ScienceVideoRecognition.zip"
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+ "Video Object Counting": {
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+ "matched_folder": "VideoObjectCounting.zip"
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+ },
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+ "Natural Disaster Video Recognition": {
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+ "matched_folder": "NaturalDisasterVideoRecognition.zip"
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+ },
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+ "Video Object Existence Recognition": {
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+ "matched_folder": "VideoObjectExistenceRecognition.zip"
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+ },
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+ "Video Object Interaction Recognition": {
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+ "matched_folder": "VideoObjectInteractionRecognition.zip"
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+ },
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+ "TV-Show Recognition": {
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+ "matched_folder": "TVShowRecognition.zip"
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+ },
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+ "Video Sports Recognition": {
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+ "matched_folder": "VideoSportsRecognition.zip"
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+ },
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+ "Video Animal Recognition": {
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+ "matched_folder": "VideoAnimalRecognition.zip"
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+ },
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+ "Video Food Recognition": {
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+ "matched_folder": "VideoFoodRecognition.zip"
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+ },
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+ "Art Recognition": {
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+ "matched_folder": "ArtRecognition.zip"
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+ },
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+ "Autos and Vehicles Video Captioning": {
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+ "matched_folder": "AutosAndVehiclesVideoCaptioning.zip"
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+ },
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+ "Food Video Captioning": {
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+ "matched_folder": "FoodVideoCaptioning.zip"
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+ },
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+ "Video Salient Object Detection": {
296
+ "matched_folder": "VideoSalientObjectDetection.zip"
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+ },
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+ "Human Video Salient Detection": {
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+ "matched_folder": "HumanVideoSalientDetection.zip"
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+ },
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+ "Aquatic Video Camouflaged Object Detection": {
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+ "matched_folder": "AquaticVideoCamouflagedObjectDetection.zip"
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+ },
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+ "Terrestrial Video Camouflaged Object Detection": {
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+ "matched_folder": "TerrestrialVideoCamouflagedObjectDetection.zip"
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+ },
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+ "Human-Object Interaction Video Captioning": {
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+ "matched_folder": "HumanObjectInteractionVideoCaptioning.zip"
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+ },
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+ "Human-Human Interaction Video Captioning": {
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+ "matched_folder": "HumanHumanInteractionVideoCaptioning.zip"
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+ },
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+ "BodyMotion Video Captioning": {
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+ "matched_folder": "BodyMotionVideoCaptioning.zip"
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+ },
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+ "Musical Instruments Video Captioning": {
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+ "matched_folder": "MusicalInstrumentsVideoCaptioning.zip"
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+ },
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+ "Sports and Exercise Video Captioning": {
320
+ "matched_folder": "SportsAndExcerciseVideoCaptioning.zip"
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+ },
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+ "Facial Action Video Captioning": {
323
+ "matched_folder": "FacialActionVideoCaptioning.zip"
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+ },
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+ "Facial-Object Operations Video Captioning": {
326
+ "matched_folder": "FacialObjectOperationsVideoCaptioning.zip"
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+ },
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+ "Arts and Crafts Video Captioning": {
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+ "matched_folder": "ArtsAndCraftsVideoCaptioning.zip"
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+ },
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+ "Personal Care Video Captioning": {
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+ "matched_folder": "PersonalCareVideoCaptioning.zip"
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+ },
334
+ "DailyLife and Skills Video Captioning": {
335
+ "matched_folder": "DailyLifeAndSkillsVideoCaptioning.zip"
336
+ },
337
+ "Entertainment-related Video Captioning": {
338
+ "matched_folder": "EntertainmentRelatedVideoCaptioning.zip"
339
+ },
340
+ "Sign Language Video Recognition": {
341
+ "matched_folder": "SignLanguageVideoRecognition.zip"
342
+ },
343
+ "Video Action Sequence Understanding": {
344
+ "matched_folder": "VideoActionSequenceUnderstanding.zip"
345
+ },
346
+ "Video Action Sequence Prediction": {
347
+ "matched_folder": "VideoActionSequencePrediction.zip"
348
+ },
349
+ "Video Action Counting": {
350
+ "matched_folder": "VideoActionCounting.zip"
351
+ },
352
+ "Video Action Ordering": {
353
+ "matched_folder": "VideoActionOrdering.zip"
354
+ },
355
+ "Ball Sports Video Captioning": {
356
+ "matched_folder": "BallSportsVideoCaptioning.zip"
357
+ },
358
+ "Science and Technology Video Captioning": {
359
+ "matched_folder": "ScienceAndTechnologyVideoCaptioning.zip"
360
+ },
361
+ "Music Video Question Answering": {
362
+ "matched_folder": "MusicVideoQuestionAnswering.zip"
363
+ },
364
+ "Game Video Question Answering": {
365
+ "matched_folder": "GameVideoQuestionAnswering.zip"
366
+ },
367
+ "Movie and Show Video Captioning": {
368
+ "matched_folder": "MovieAndShowVideoCaptioning.zip"
369
+ },
370
+ "Finance Video Captioning": {
371
+ "matched_folder": "FinanceVideoCaptioning.zip"
372
+ },
373
+ "History and Literature Video Captioning": {
374
+ "matched_folder": "HistoryAndLiteratureVideoCaptioning.zip"
375
+ },
376
+ "Business Video Captioning": {
377
+ "matched_folder": "BusinessVideoCaptioning.zip"
378
+ },
379
+ "Humor Video Captioning": {
380
+ "matched_folder": "HumorVideoCaptioning.zip"
381
+ },
382
+ "In the Wild Automobile Video Object Segmentation": {
383
+ "matched_folder": "IntheWildAutomobileVideoObjectSegmentation.zip"
384
+ },
385
+ "In the Wild Human Video Object Segmentation": {
386
+ "matched_folder": "IntheWildHumanVideoObjectSegmentation.zip"
387
+ },
388
+ "In the Wild Animal Video Object Segmentation": {
389
+ "matched_folder": "IntheWildAnimalVideoObjectSegmentation.zip"
390
+ },
391
+ "In the Wild Furniture Video Object Segmentation": {
392
+ "matched_folder": "IntheWildFurnitureVideoObjectSegmentation.zip"
393
+ },
394
+ "Automobile Video Object Segmentation": {
395
+ "matched_folder": "AutomobileVideoObjectSegmentation.zip"
396
+ },
397
+ "Human Video Object Segmentation": {
398
+ "matched_folder": "HumanVideoObjectSegmentation.zip"
399
+ },
400
+ "Animal Video Object Segmentation": {
401
+ "matched_folder": "AnimalVideoObjectSegmentation.zip"
402
+ },
403
+ "Sports Video Object Segmentation": {
404
+ "matched_folder": "SportsVideoObjectSegmentation.zip"
405
+ },
406
+ "Automobile Street-Scene Video Object Segmentation": {
407
+ "matched_folder": "AutomobileStreetSceneVideoObjectSegmentation.zip"
408
+ },
409
+ "Human Street-Scene Video Object Segmentation": {
410
+ "matched_folder": "HumanStreetSceneVideoObjectSegmentation.zip"
411
+ },
412
+ "Bicycle Street-Scene Video Object Segmentation": {
413
+ "matched_folder": "BicycleStreetSceneVideoObjectSegmentation.zip"
414
+ },
415
+ "Human Referring Video Object Segmentation": {
416
+ "matched_folder": "HumanReferringVideoObjectSegmentation.zip"
417
+ },
418
+ "Animal Referring Video Object Segmentation": {
419
+ "matched_folder": "AnimalReferringVideoObjectSegmentation.zip"
420
+ },
421
+ "Human Reasoning Video Object Segmentation": {
422
+ "matched_folder": "HumanReasoningVideoObjectSegmentation.zip"
423
+ },
424
+ "Animal Reasoning Video Object Segmentation": {
425
+ "matched_folder": "AnimalReasoningVideoObjectSegmentation.zip"
426
+ },
427
+ "Automobile Reasoning Video Object Segmentation": {
428
+ "matched_folder": "AutomobileReasoningVideoObjectSegmentation.zip"
429
+ },
430
+ "Spatio-Temporal Static Action Detection": {
431
+ "matched_folder": "SpatialTemporalStaticActionDetection.zip"
432
+ },
433
+ "Spatio-Temporal Dynamic Action Detection": {
434
+ "matched_folder": "SpatialTemporalDynamicActionDetection.zip"
435
+ },
436
+ "Human Complex-Scene Reasoning Video Object Segmentation": {
437
+ "matched_folder": "HumanComplexSceneReasoningVideoObjectSegmentation.zip"
438
+ },
439
+ "Animal Complex-Scene Reasoning Video Object Segmentation": {
440
+ "matched_folder": "AnimalComplexSceneReasoningVideoObjectSegmentation.zip"
441
+ },
442
+ "Automobile Complex-Scene Reasoning Video Object Segmentation": {
443
+ "matched_folder": "AutomobileComplexSceneReasoningVideoObjectSegmentation.zip"
444
+ },
445
+ "Human and Part Complex-Scene Reasoning Video Object Segmentation": {
446
+ "matched_folder": "HumanPartComplexSceneReasoningVideoObjectSegmentation.zip"
447
+ },
448
+ "Equipment Complex-Scene Reasoning Video Object Segmentation": {
449
+ "matched_folder": "EquipmentComplexSceneReasoningVideoObjectSegmentation.zip"
450
+ },
451
+ "Human Video Grounding": {
452
+ "matched_folder": "HumanVisualGrounding.zip"
453
+ },
454
+ "Animal Video Grounding": {
455
+ "matched_folder": "AnimalVisualGrounding.zip"
456
+ },
457
+ "Automobile Video Grounding": {
458
+ "matched_folder": "AutomobileVisualGrounding.zip"
459
+ },
460
+ "Sythetic Video Depth Estimation": {
461
+ "matched_folder": "SyntheticVideoDepthEstimation.zip"
462
+ },
463
+ "Indoor Static Video Depth Estimation": {
464
+ "matched_folder": "StaticVideoDepthEstimation.zip"
465
+ },
466
+ "Indoor Dynamic Video Depth Estimation": {
467
+ "matched_folder": "DynamicVideoDepthEstimation.zip"
468
+ },
469
+ "Street Scene Video Depth Estimation": {
470
+ "matched_folder": "StreetVideoDepthEstimation.zip"
471
+ },
472
+ "Color Aware Object Matching": {
473
+ "matched_folder": "ColorMatch.zip"
474
+ },
475
+ "Shape or Posture Aware Matching": {
476
+ "matched_folder": "ShapeMatch.zip"
477
+ },
478
+ "Textual or Logo Markers Aware Object Matching": {
479
+ "matched_folder": "LOGOMarkerMatch.zip"
480
+ },
481
+ "Size Aware Object Matching": {
482
+ "matched_folder": "SizeMatch.zip"
483
+ },
484
+ "Relative Position Aware Object Matching": {
485
+ "matched_folder": "PositionMatch.zip"
486
+ },
487
+ "Orientation and Movement Aware Object Matching": {
488
+ "matched_folder": "MotionMatch.zip"
489
+ },
490
+ "Binding Relationship Aware Object Matching": {
491
+ "matched_folder": "RelationMatch.zip"
492
+ },
493
+ "Object Markers Aware Object Matching": {
494
+ "matched_folder": "ObjectMarkerMatch.zip"
495
+ },
496
+ "Ball Tracking": {
497
+ "matched_folder": "BallTrack.zip"
498
+ },
499
+ "Vehicle Tracking": {
500
+ "matched_folder": "VehicleTrack.zip"
501
+ },
502
+ "Human Tracking": {
503
+ "matched_folder": "HumanTrack.zip"
504
+ },
505
+ "Animal Tracking": {
506
+ "matched_folder": "AnimalTrack.zip"
507
+ },
508
+ "General Objects Tracking": {
509
+ "matched_folder": "GeneralObjectTrack.zip"
510
+ },
511
+ "Human Part Tracking": {
512
+ "matched_folder": "HumanPartTrack.zip"
513
+ },
514
+ "General Objects Part Tracking": {
515
+ "matched_folder": "GeneralObjectsPartTrack.zip"
516
+ },
517
+ "Long Video Human Tracking": {
518
+ "matched_folder": "LongVideoHumanTrack.zip"
519
+ },
520
+ "Long Video General Object Tracking": {
521
+ "matched_folder": "LongVideoGeneralObjectTrack.zip"
522
+ },
523
+ "Long Video Animal Tracking": {
524
+ "matched_folder": "LongVideoAnimalTrack.zip"
525
+ },
526
+ "Long Video Vehicle Tracking": {
527
+ "matched_folder": "LongVideoVehicleTrack.zip"
528
+ },
529
+ "Long Video Object Tracking in Crowd Sense": {
530
+ "matched_folder": "LongVideoCrowdTrack.zip"
531
+ },
532
+ "UAV Video Human Tracking": {
533
+ "matched_folder": "UAVHumanTrack.zip"
534
+ },
535
+ "UAV Video Vehicle Tracking": {
536
+ "matched_folder": "UAVVehicleTrack.zip"
537
+ },
538
+ "UAV Video UAV Tracking": {
539
+ "matched_folder": "UAVUAVTrack.zip"
540
+ },
541
+ "UAV Video Building Tracking": {
542
+ "matched_folder": "UAVBuildingTrack.zip"
543
+ },
544
+ "UAV Video General Object Tracking": {
545
+ "matched_folder": "UAVGeneralObjectTrack.zip"
546
+ },
547
+ "Underwater Video Object Tracking in Blue Water": {
548
+ "matched_folder": "BlueWaterTrack.zip"
549
+ },
550
+ "Underwater Video Object Tracking in Yellow Water": {
551
+ "matched_folder": "YellowWaterTrack.zip"
552
+ },
553
+ "Underwater Video Object Tracking in Green Water": {
554
+ "matched_folder": "GreenWaterTrack.zip"
555
+ },
556
+ "Underwater Video Object Tracking in White Water": {
557
+ "matched_folder": "WhiteWaterTrack.zip"
558
+ },
559
+ "Video Object Tracking in Crowd Sense": {
560
+ "matched_folder": "CrowdTrack.zip"
561
+ },
562
+ "Optical Flow in Simple Synthetic Scene": {
563
+ "matched_folder": "SyntheticSceneFlowEstimate.zip"
564
+ },
565
+ "Optical Flow in Complex Scene Estimation": {
566
+ "matched_folder": "ComplexSceneFlowEstimate.zip"
567
+ },
568
+ "Panoramic Optical Flow Estimation": {
569
+ "matched_folder": "PanoramicFlowEstimate.zip"
570
+ },
571
+ "News and Documentary Video Captioning": {
572
+ "matched_folder": "NewsAndDocumentaryVideoCaptioning.zip"
573
+ }
574
+ },
575
+ "audio_generation": {
576
+ "AudioEdit": {
577
+ "matched_folder": "AudioEdit"
578
+ },
579
+ "Daily Talk Generation": {
580
+ "matched_folder": "DailyTalkGeneration"
581
+ },
582
+ "Emotional Speech Synthesis": {
583
+ "matched_folder": "EmotionalSpeechSynthesis"
584
+ },
585
+ "Emotion Style Transfer": {
586
+ "matched_folder": "EmotionStyleTransfer"
587
+ },
588
+ "Text-To-Speech": {
589
+ "matched_folder": "TextToSpeech"
590
+ },
591
+ "Multimodal TTS": {
592
+ "matched_folder": "MultimodalTTS"
593
+ },
594
+ "Single Caption To Audio Generation": {
595
+ "matched_folder": "SingleCaptionToAudio"
596
+ },
597
+ "Two Captions To Audio Generation": {
598
+ "matched_folder": "TwoCaptionsToAudio"
599
+ },
600
+ "Image-to-Speech": {
601
+ "matched_folder": "ImageToSpeech"
602
+ },
603
+ "Video-to-Audio": {
604
+ "matched_folder": "VideoToAudio"
605
+ },
606
+ "Voice Conversion": {
607
+ "matched_folder": "VoiceConversion"
608
+ },
609
+ "Chinese-to-English Speech Translation": {
610
+ "matched_folder": "SpeechTranslationChToEn"
611
+ },
612
+ "English-to-Chinese Speech Translation": {
613
+ "matched_folder": "SpeechTranslationEnToCh"
614
+ },
615
+ "English-to-Mogolian Speech Translation": {
616
+ "matched_folder": "SpeechTranslationEnToMo"
617
+ },
618
+ "Piano-to-Orchestration Generation": {
619
+ "matched_folder": "PianoToOrchestrationGeneration"
620
+ },
621
+ "Pop Music Generation": {
622
+ "matched_folder": "PopMusicGeneration"
623
+ },
624
+ "Singing Voice Synthesis": {
625
+ "matched_folder": "SingingVoiceSynthesis"
626
+ },
627
+ "Song Generation": {
628
+ "matched_folder": "SongGeneration"
629
+ },
630
+ "Music Style Transfer": {
631
+ "matched_folder": "MusicStyleTransfer"
632
+ },
633
+ "Chord-based Music Style Transfer": {
634
+ "matched_folder": "ChordBasedMusicStyleTransfer"
635
+ }
636
+ },
637
+ "audio_comprehension": {
638
+ "Accent Classification": {
639
+ "matched_folder": "AccentClassification"
640
+ },
641
+ "Accent Sex Classification": {
642
+ "matched_folder": "AccentSexClassification"
643
+ },
644
+ "Speaker Identification": {
645
+ "matched_folder": "SpeakerIdentification"
646
+ },
647
+ "Vocal Sound Classification": {
648
+ "matched_folder": "VocalSoundClassification"
649
+ },
650
+ "Intent Classification": {
651
+ "matched_folder": "IntentClassification"
652
+ },
653
+ "Speech Command": {
654
+ "matched_folder": "SpeechCommand"
655
+ },
656
+ "Speech Event Extraction": {
657
+ "matched_folder": "SpeechEventExtraction"
658
+ },
659
+ "Speech Emotion Recognition": {
660
+ "matched_folder": "SpeechEmotionRecognition"
661
+ },
662
+ "Music Genre Classification": {
663
+ "matched_folder": "MusicGenreClassification"
664
+ },
665
+ "Music Instrument Classification": {
666
+ "matched_folder": "MusicInstrumentClassification"
667
+ },
668
+ "Music Instrument Source Analysis": {
669
+ "matched_folder": "MusicInstrumentSourceAnalysis"
670
+ },
671
+ "Music Pitch Analysis": {
672
+ "matched_folder": "MusicPitchAnalysis"
673
+ },
674
+ "Note Qualities Analysis": {
675
+ "matched_folder": "NoteQualitiesAnalysis"
676
+ },
677
+ "Singer Identification": {
678
+ "matched_folder": "SingerIdentification"
679
+ },
680
+ "Vocal Technique Detection": {
681
+ "matched_folder": "VocalTechniqueDetection"
682
+ },
683
+ "Long Audio Captioning": {
684
+ "matched_folder": "LongAudioCaptioning"
685
+ },
686
+ "Wild Audio Captioning": {
687
+ "matched_folder": "WildAudioCaptioning"
688
+ },
689
+ "Open Audio Question Answering": {
690
+ "matched_folder": "OpenAudioQuestionAnswering"
691
+ },
692
+ "Audio Question Answering": {
693
+ "matched_folder": "AudioQuestionAnswering"
694
+ },
695
+ "Bird Sound Detection": {
696
+ "matched_folder": "BirdSoundDetection"
697
+ },
698
+ "Animal Sound Detection": {
699
+ "matched_folder": "AnimalSoundDetection"
700
+ },
701
+ "Acoustic Scene Recognition": {
702
+ "matched_folder": "AcousticSceneRecognition"
703
+ },
704
+ "Environment Sound Recognition": {
705
+ "matched_folder": "EnvironmentSoundRecognition"
706
+ },
707
+ "Sound Event Recognition": {
708
+ "matched_folder": "SoundEventRecognition"
709
+ }
710
+ },
711
+ "image_generation": {
712
+ "Edge-to-Image Generation": {
713
+ "matched_folder": "edge2object"
714
+ },
715
+ "EEG-based Image Generation": {
716
+ "matched_folder": "EEG-based_Image_Generation"
717
+ },
718
+ "Image Deraining": {
719
+ "matched_folder": "image_deraining"
720
+ },
721
+ "Image Raindrop Removal": {
722
+ "matched_folder": "image_raindrop_removal"
723
+ },
724
+ "Image Dehazing": {
725
+ "matched_folder": "image_dehazing"
726
+ },
727
+ "Image Desnowing": {
728
+ "matched_folder": "image_desnowing"
729
+ },
730
+ "Image Deblurring": {
731
+ "matched_folder": "image_deblurring"
732
+ },
733
+ "JPEG Image Artifact Deduction": {
734
+ "matched_folder": "jpeg_artifact_deduction"
735
+ },
736
+ "Remote Sensing Image Dehazing": {
737
+ "matched_folder": "Remote_Sensing_Image_Dehazing"
738
+ },
739
+ "Image Shadow Removal": {
740
+ "matched_folder": "image_shadow_removal"
741
+ },
742
+ "Image Flare Removal": {
743
+ "matched_folder": "image_flare_removal"
744
+ },
745
+ "Underwater Image Restoration": {
746
+ "matched_folder": "underwater_image_restoration"
747
+ },
748
+ "Document Image Unwarping": {
749
+ "matched_folder": "document_image_unwarping"
750
+ },
751
+ "Image Detail Enhancement": {
752
+ "matched_folder": "Image_Detail_Enhancement"
753
+ },
754
+ "Low-light Image Enhancement": {
755
+ "matched_folder": "Low-light_Image_Enhancement"
756
+ },
757
+ "Face Image Inpainting": {
758
+ "matched_folder": "face_inpainting"
759
+ },
760
+ "Face Image Comic Style Transfer": {
761
+ "matched_folder": "face2comic"
762
+ },
763
+ "Text-based Style Transfer": {
764
+ "matched_folder": "Text-based_Style_Transfer"
765
+ },
766
+ "Infection-map Generation": {
767
+ "matched_folder": "infection_map_generation"
768
+ },
769
+ "Face Sketch Synthesis": {
770
+ "matched_folder": "face_sketch_synthesis"
771
+ },
772
+ "Image Editing with Text and Image Prompt": {
773
+ "matched_folder": "Image_Editing_with_Text_and_Image_Prompt"
774
+ },
775
+ "Image Editing with Multi-image Prompt": {
776
+ "matched_folder": "Image_Editing_with_Multi-image_Prompt"
777
+ },
778
+ "Image Editing with Text and Multi-image Prompt": {
779
+ "matched_folder": "Image_Editing_with_Text_and_Multi-image_Prompt"
780
+ },
781
+ "Layout-to-Face Image Generation": {
782
+ "matched_folder": "layout2face"
783
+ },
784
+ "Mask-to-Image Face Generation": {
785
+ "matched_folder": "Mask-to-Image_Face_Generation"
786
+ },
787
+ "Sketch-to-Face Image Generation": {
788
+ "matched_folder": "sketch2face"
789
+ },
790
+ "Sketch-to-Background Image Generation": {
791
+ "matched_folder": "sketch2background"
792
+ },
793
+ "Sketch-to-Scene Image Generation": {
794
+ "matched_folder": "sketch2scene"
795
+ },
796
+ "Sketch-to-Image Hair Generation": {
797
+ "matched_folder": "Sketch-to-Image_Hair_Generation"
798
+ },
799
+ "Sound-to-Image Generation": {
800
+ "matched_folder": "Sound-to-Image_Gernation"
801
+ },
802
+ "Image Colorization": {
803
+ "matched_folder": "image_colorization"
804
+ },
805
+ "Chinese-based Image Editing": {
806
+ "matched_folder": "Chinese-based_Image_Editing"
807
+ },
808
+ "Text-based Image Editing": {
809
+ "matched_folder": "Text-based_Image_Editing"
810
+ },
811
+ "Deep Fake Generation": {
812
+ "matched_folder": "deep_fake_generation"
813
+ },
814
+ "Text-based E-commerce Product Image Generation": {
815
+ "matched_folder": "ecommerce_product_generation"
816
+ },
817
+ "Text-based Terrestrial Animal Image Generation": {
818
+ "matched_folder": "terrestrial_animal_generation"
819
+ },
820
+ "Long-text-based Image generation": {
821
+ "matched_folder": "Long-text-based_Image_generation"
822
+ },
823
+ "Multi-language-based Image Generation": {
824
+ "matched_folder": "Multi-language-based_Image_Generation"
825
+ },
826
+ "Handwriting Text Generation": {
827
+ "matched_folder": "Handwriting_Text_Generation"
828
+ },
829
+ "Text-based Face Generation": {
830
+ "matched_folder": "Text-based_Face_Generation"
831
+ },
832
+ "Text-based Astronomical Image Generation": {
833
+ "matched_folder": "Text-based_Astronomical_Image_Generation"
834
+ },
835
+ "Text-to-Image Indian Food Generation": {
836
+ "matched_folder": "Text-to-Image_Indian_Food_Generation"
837
+ },
838
+ "Text-to-Image Microorganism Generation": {
839
+ "matched_folder": "Text-to-Image_Microorganism_Generation"
840
+ },
841
+ "Text-to-Image Insect Generation": {
842
+ "matched_folder": "Text-to-Image_Insect_Generation"
843
+ },
844
+ "Text-to-Image Sea Animal Generation": {
845
+ "matched_folder": "Text-to-Image_Sea_Animal_Generation"
846
+ }
847
+ },
848
+ "3D_generation": {
849
+ "3D Point Cloud Completion": {
850
+ "matched_folder": "3d_point_cloud_completion"
851
+ },
852
+ "Point Cloud to Mesh Object Reconstruction": {
853
+ "matched_folder": "point_cloud_2_mesh_object_reconstruction"
854
+ },
855
+ "Point Cloud to Mesh Scene Reconstruction": {
856
+ "matched_folder": "point_cloud_2_mesh_scene_reconstruction"
857
+ },
858
+ "Text to 3D Living and Arts Point Cloud Generation": {
859
+ "matched_folder": "text_2_3d_pointcloud_gen"
860
+ },
861
+ "Text to 3D Science and Technology Point Cloud Generation": {
862
+ "matched_folder": "text_2_3d_pointcloud_gen"
863
+ },
864
+ "Text to 3D Nature and Biology Point Cloud Generation": {
865
+ "matched_folder": "text_2_3d_pointcloud_gen"
866
+ },
867
+ "Text to 3D Culture and Structure Point Cloud Generation": {
868
+ "matched_folder": "text_2_3d_pointcloud_gen"
869
+ },
870
+ "Text to 3D Living and Arts Mesh Generation": {
871
+ "matched_folder": "text_2_3d_mesh_gen"
872
+ },
873
+ "Text to 3D Science and Technology Mesh Generation": {
874
+ "matched_folder": "text_2_3d_mesh_gen"
875
+ },
876
+ "Text to 3D Nature and Biology Mesh Generation": {
877
+ "matched_folder": "text_2_3d_mesh_gen"
878
+ },
879
+ "Text to 3D Culture and Structure Mesh Generation": {
880
+ "matched_folder": "text_2_3d_mesh_gen"
881
+ },
882
+ "Living and Arts Image to 3D Mesh Generation": {
883
+ "matched_folder": "image_2_3d_mesh"
884
+ },
885
+ "Science and Technology Image to 3D Mesh Generation": {
886
+ "matched_folder": "image_2_3d_mesh"
887
+ },
888
+ "Nature and Biology Image to 3D Mesh Generation": {
889
+ "matched_folder": "image_2_3d_mesh"
890
+ },
891
+ "Culture and Structure Image to 3D Mesh Generation": {
892
+ "matched_folder": "image_2_3d_mesh"
893
+ },
894
+ "RGB-D to Mesh Reconstruction": {
895
+ "matched_folder": "rgbd_to_mesh/scannet"
896
+ },
897
+ "Text to 3D Motion Generation": {
898
+ "matched_folder": "text_2_3d_motion_gen"
899
+ }
900
+ },
901
+ "nlp_task": {
902
+ "Commonsense Reasoning": {
903
+ "matched_folder": "Commonsense-Reasoning"
904
+ },
905
+ "Causal Reasoning": {
906
+ "matched_folder": "Causal-Reasoning"
907
+ },
908
+ "Document-Level Causal Reasoning": {
909
+ "matched_folder": "Document-Level-Causal-Reasoning"
910
+ },
911
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912
+ "matched_folder": "Counterfactual-Reasoning"
913
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914
+ "Analogical Reasoning": {
915
+ "matched_folder": "Analogical-Reasoning"
916
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917
+ "Multi-Hop Question Answering": {
918
+ "matched_folder": "Multihop-Question-Answering"
919
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920
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921
+ "matched_folder": "Temporal-Reasoning"
922
+ },
923
+ "Spatial Reasoning": {
924
+ "matched_folder": "Spatial-Reasoning"
925
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926
+ "Numerical Reasoning": {
927
+ "matched_folder": "Numerical-Reasoning"
928
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929
+ "Ethical Reasoning": {
930
+ "matched_folder": "Ethical-Reasoning"
931
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932
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933
+ "matched_folder": "Truthful-Question-Answering"
934
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935
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936
+ "matched_folder": "Legal-Question-Answering"
937
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938
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939
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940
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941
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942
+ "matched_folder": "Offensive-Classification"
943
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944
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945
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946
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947
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948
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949
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950
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951
+ "matched_folder": "Fake-News-Detection"
952
+ },
953
+ "Fact Verification": {
954
+ "matched_folder": "Fact-Verification"
955
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956
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957
+ "matched_folder": "Biomedical-Question-Answering"
958
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959
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960
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961
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962
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963
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964
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965
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966
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967
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968
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969
+ "matched_folder": "Science-Question-Answering"
970
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971
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972
+ "matched_folder": "Earth-Question-Answering"
973
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974
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975
+ "matched_folder": "Nature-Question-Answering"
976
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977
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978
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979
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980
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981
+ "matched_folder": "Social-Science-Question-Answering"
982
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983
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984
+ "matched_folder": "Philosophical-Question-Answering"
985
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986
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987
+ "matched_folder": "Art-Question-Answering"
988
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989
+ "Business Question Answering": {
990
+ "matched_folder": "Business-Question-Answering"
991
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992
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993
+ "matched_folder": "History-Question-Answering"
994
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995
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996
+ "matched_folder": "Fairytale-Question-Answering"
997
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998
+ "Tweet Question Answering": {
999
+ "matched_folder": "Tweet-Question-Answering"
1000
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1001
+ "Trivial QA": {
1002
+ "matched_folder": "Trivia-Question-Answering"
1003
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1004
+ "Open-Domain Question Answering": {
1005
+ "matched_folder": "Open-Domain-Question-Answering"
1006
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1007
+ "Conversational Question Answering": {
1008
+ "matched_folder": "Conversational-Question-Answering"
1009
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1010
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1011
+ "matched_folder": "Table-Question-Answering"
1012
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1013
+ "Multilingual Question Answering": {
1014
+ "matched_folder": "Multilingual-Question-Answering"
1015
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1016
+ "Code-Switch Question Answering": {
1017
+ "matched_folder": "Code-Switching-Question-Answering"
1018
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1019
+ "Math Question Answering": {
1020
+ "matched_folder": "Math-Question-Answering"
1021
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1022
+ "Mathematical Word Problem Solving": {
1023
+ "matched_folder": "Mathematical-Word-Problem-Solving"
1024
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1025
+ "Mathematical Proof Generation": {
1026
+ "matched_folder": "Mathematical-Proof-Generation"
1027
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1028
+ "Code Explanation": {
1029
+ "matched_folder": "Code-Explanation"
1030
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1031
+ "Code Defect Detection": {
1032
+ "matched_folder": "Code-Defect-Detection"
1033
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1034
+ "Code Generation": {
1035
+ "matched_folder": "Code-Generation"
1036
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1037
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1038
+ "matched_folder": "Code-Repair"
1039
+ },
1040
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1041
+ "matched_folder": "Story-Generation"
1042
+ },
1043
+ "Multilingual Translation": {
1044
+ "matched_folder": "Multilingual-Translation"
1045
+ },
1046
+ "Low-Resource Translation": {
1047
+ "matched_folder": "Low-Resource-Translation"
1048
+ },
1049
+ "English-Chinese Translation": {
1050
+ "matched_folder": "En-Zh-Translation"
1051
+ },
1052
+ "English-French Translation": {
1053
+ "matched_folder": "En-Fr-Translation"
1054
+ },
1055
+ "Extractive Summarization": {
1056
+ "matched_folder": "Extractive-Summarization"
1057
+ },
1058
+ "Abstractive Summarization": {
1059
+ "matched_folder": "Abstractive-Summarization"
1060
+ },
1061
+ "Multi-Document Summarization": {
1062
+ "matched_folder": "Multi-Document-Summarization"
1063
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1064
+ "Multi-Turn Daily Dialogue Generation": {
1065
+ "matched_folder": "Multi-Turn-Daily-Dialogue-Generation"
1066
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1067
+ "Table-to-Text Generation": {
1068
+ "matched_folder": "Table-to-Text-Generation"
1069
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1070
+ "Text Style Transfer": {
1071
+ "matched_folder": "Text-Style-Transfer"
1072
+ },
1073
+ "Story Generation": {
1074
+ "matched_folder": "Story-Generation"
1075
+ },
1076
+ "Paraphrase Generation": {
1077
+ "matched_folder": "Paraphrase-Generation"
1078
+ },
1079
+ "Grammar Correction": {
1080
+ "matched_folder": "Grammar-Correction"
1081
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1082
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1083
+ "matched_folder": "Time-Series"
1084
+ },
1085
+ "Topic Classification": {
1086
+ "matched_folder": "Topic-Classification"
1087
+ },
1088
+ "Natural Language Inference": {
1089
+ "matched_folder": "Natural-Language-Inference"
1090
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1091
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1092
+ "matched_folder": "Sentence-Similarity-Detection"
1093
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1094
+ "Intent Detection": {
1095
+ "matched_folder": "Intent-Classification"
1096
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1097
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1098
+ "matched_folder": "Stance-Detection"
1099
+ },
1100
+ "Personality Analysis": {
1101
+ "matched_folder": "Personality-Analysis"
1102
+ },
1103
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1104
+ "matched_folder": "Humor-Detection"
1105
+ },
1106
+ "Sarcasm Detection": {
1107
+ "matched_folder": "Sarcasm-Detection"
1108
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1109
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1110
+ "matched_folder": "Sentiment-Classification"
1111
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1112
+ "Mental Health Toxicity Detection": {
1113
+ "matched_folder": "Mental-Health-Toxicity-Detection"
1114
+ },
1115
+ "Financial Sentiment Analysis": {
1116
+ "matched_folder": "Financial-Sentiment-Classification"
1117
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1118
+ "Metaphor Detection": {
1119
+ "matched_folder": "Metaphor-Detection"
1120
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1121
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1122
+ "matched_folder": "Aspect-Category-Detection"
1123
+ },
1124
+ "Aspect Sentiment Classification": {
1125
+ "matched_folder": "Aspect-Sentiment-Classification"
1126
+ },
1127
+ "Aspect Term Extraction": {
1128
+ "matched_folder": "Aspect-Term-Extraction"
1129
+ },
1130
+ "Target-oriented Opinion Words Extraction": {
1131
+ "matched_folder": "Target-Oriented-Opinion-Words-Extraction"
1132
+ },
1133
+ "Aspect-Opinion Pair Extraction": {
1134
+ "matched_folder": "Aspect-Opinion-Pair-Extraction"
1135
+ },
1136
+ "End-to-End ABSA": {
1137
+ "matched_folder": "End-To-End-ABSA"
1138
+ },
1139
+ "Aspect Sentiment Triplet Extraction": {
1140
+ "matched_folder": "Aspect-Sentiment-Triplet-Extraction"
1141
+ },
1142
+ "Aspect-Category-Sentiment Detection": {
1143
+ "matched_folder": "Aspect-Category-Sentiment-Detection"
1144
+ },
1145
+ "Aspect Sentiment Quad Prediction": {
1146
+ "matched_folder": "Aspect-Sentiment-Quad-Prediction"
1147
+ },
1148
+ "Dialogue-Level Sentiment Quadruple Extraction": {
1149
+ "matched_folder": "Dialogue-Level-Sentiment-Quadruple-Extraction"
1150
+ },
1151
+ "Soccer Sentiment Classification": {
1152
+ "matched_folder": "Soccer-Sentiment-Classification"
1153
+ },
1154
+ "Comparative Opinion Quintuple Extraction": {
1155
+ "matched_folder": "Comparative-Opinion-Quintuple-Extraction"
1156
+ },
1157
+ "Scientific NER": {
1158
+ "matched_folder": "Scientific-NER"
1159
+ },
1160
+ "Temporal NER": {
1161
+ "matched_folder": "Temporal-NER"
1162
+ },
1163
+ "Pathology NER": {
1164
+ "matched_folder": "Pathology-NER"
1165
+ },
1166
+ "Cybersecurity NER": {
1167
+ "matched_folder": "Cybersecurity-NER"
1168
+ },
1169
+ "Geological NER": {
1170
+ "matched_folder": "Geological-NER"
1171
+ },
1172
+ "Legal NER": {
1173
+ "matched_folder": "Legal-NER"
1174
+ },
1175
+ "Organization Recognition": {
1176
+ "matched_folder": "Organization-Recognition"
1177
+ },
1178
+ "Person Recognition": {
1179
+ "matched_folder": "Person-Recognition"
1180
+ },
1181
+ "Location Recognition": {
1182
+ "matched_folder": "Location-Recognition"
1183
+ },
1184
+ "Climate Change NER": {
1185
+ "matched_folder": "Climate-Change-NER"
1186
+ },
1187
+ "Gene/Protein Named Entity Recognition": {
1188
+ "matched_folder": "Gene-Protein-NER"
1189
+ },
1190
+ "Chemical Named Entity Recognition": {
1191
+ "matched_folder": "Chemical-NER"
1192
+ },
1193
+ "Disease-NER": {
1194
+ "matched_folder": "Disease-NER"
1195
+ },
1196
+ "Scientific Relation Extraction": {
1197
+ "matched_folder": "Scientific-Relation-Extraction"
1198
+ },
1199
+ "News Relation Extraction": {
1200
+ "matched_folder": "Relation-Extraction"
1201
+ },
1202
+ "Joint NER and RE": {
1203
+ "matched_folder": "Joint-NER-And-RE"
1204
+ },
1205
+ "DocRE": {
1206
+ "matched_folder": "Code-Repair"
1207
+ },
1208
+ "Adverse Drug Reaction": {
1209
+ "matched_folder": "Adverse-Drug-Reaction-Detection"
1210
+ },
1211
+ "Protein-Protein Interaction Extraction": {
1212
+ "matched_folder": "Protein-Protein-Interaction-Extraction"
1213
+ },
1214
+ "Drug-Drug Interaction": {
1215
+ "matched_folder": "Drug-Drug-Interaction"
1216
+ },
1217
+ "Genetic Association Datebase": {
1218
+ "matched_folder": "Genetic-Association-Database"
1219
+ },
1220
+ "Chemical-Protein Relationship Extraction": {
1221
+ "matched_folder": "Chemical-Protein-Relationship-Extraction"
1222
+ },
1223
+ "Event Trigger Detection": {
1224
+ "matched_folder": "Event-Trigger-Detection"
1225
+ },
1226
+ "Temporal Event Reasoning": {
1227
+ "matched_folder": "Temporal-Event-Reasoning"
1228
+ },
1229
+ "Event Coreference Resolution": {
1230
+ "matched_folder": "Event-Coreference-Resolution"
1231
+ },
1232
+ "Semantic Role Labeling": {
1233
+ "matched_folder": "Semantic-Role-Labeling"
1234
+ },
1235
+ "Abstract Meaning Representation": {
1236
+ "matched_folder": "Abstract-Meaning-Representation"
1237
+ },
1238
+ "Dependency Parsing": {
1239
+ "matched_folder": "Dependency-Parsing"
1240
+ },
1241
+ "Constituency Parsing": {
1242
+ "matched_folder": "Constituency-Parsing"
1243
+ },
1244
+ "Part-of-Speech": {
1245
+ "matched_folder": "Part-Of-Speech-Tagging"
1246
+ }
1247
+ },
1248
+ "image_comprehension": {
1249
+ "Sports Image Classification": {
1250
+ "matched_folder": "sports_image_classification"
1251
+ },
1252
+ "Sketch-to-HTML Code Generation": {
1253
+ "matched_folder": "sketch2html_code_generation"
1254
+ },
1255
+ "Plant Disease Detection": {
1256
+ "matched_folder": "plant-disease-detection"
1257
+ },
1258
+ "Fruit Disease Recognition": {
1259
+ "matched_folder": "fruit_disease_recognition"
1260
+ },
1261
+ "Abnormal Heartbeat Recognition": {
1262
+ "matched_folder": "Abnormal_Heartbeat_Patients"
1263
+ },
1264
+ "Myocardial Infarction Recognition": {
1265
+ "matched_folder": "Myocardial_Infarction_Patients"
1266
+ },
1267
+ "Brain Tumor MRI Recognition": {
1268
+ "matched_folder": "BrainTumorMRIRecognition"
1269
+ },
1270
+ "Pumpkin Leaf Diseases Recognition": {
1271
+ "matched_folder": "PumpkinLeafDiseasesRecognition"
1272
+ },
1273
+ "Leukemia Classification": {
1274
+ "matched_folder": "LeukemiaClassification"
1275
+ },
1276
+ "Multi-Page Agreement Document Visual Question Answering": {
1277
+ "matched_folder": "Multi-PageAgreementDocumentVisualQuestionAnswering"
1278
+ },
1279
+ "Multi-Page Application Document Visual Question Answering": {
1280
+ "matched_folder": "Multi-PageApplicationDocumentVisualQuestionAnswering"
1281
+ },
1282
+ "Multi-Page Certificate Document Visual Question Answering": {
1283
+ "matched_folder": "Multi-PageCertificateDocumentVisualQuestionAnswering"
1284
+ },
1285
+ "Multi-Page E-mail Document Visual Question Answering": {
1286
+ "matched_folder": "Multi-PageE-mailDocumentVisualQuestionAnswering"
1287
+ },
1288
+ "Multi-Page Form Document Visual Question Answering": {
1289
+ "matched_folder": "Multi-PageFormDocumentVisualQuestionAnswering"
1290
+ },
1291
+ "Multi-Page Handwritten Document Visual Question Answering": {
1292
+ "matched_folder": "Multi-PageHandwrittenDocumentVisualQuestionAnswering"
1293
+ },
1294
+ "Multi-Page Infographic Document Visual Question Answering": {
1295
+ "matched_folder": "Multi-PageInfographicDocumentVisualQuestionAnswering"
1296
+ },
1297
+ "Multi-Page Invoice Document Visual Question Answering": {
1298
+ "matched_folder": "Multi-PageInvoiceDocumentVisualQuestionAnswering"
1299
+ },
1300
+ "Multi-Page Letter Document Visual Question Answering": {
1301
+ "matched_folder": "Multi-PageLetterDocumentVisualQuestionAnswering"
1302
+ },
1303
+ "Multi-Page Manual Document Visual Question Answering": {
1304
+ "matched_folder": "Multi-PageManualDocumentVisualQuestionAnswering"
1305
+ },
1306
+ "Multi-Page Meeting Document Visual Question Answering": {
1307
+ "matched_folder": "Multi-PageMeetingDocumentVisualQuestionAnswering"
1308
+ },
1309
+ "Multi-Page Memo Document Visual Question Answering": {
1310
+ "matched_folder": "Multi-PageMemoDocumentVisualQuestionAnswering"
1311
+ },
1312
+ "Multi-Page News Document Visual Question Answering": {
1313
+ "matched_folder": "Multi-PageNewsDocumentVisualQuestionAnswering"
1314
+ },
1315
+ "Multi-Page Order Document Visual Question Answering": {
1316
+ "matched_folder": "Multi-PageOrderDocumentVisualQuestionAnswering"
1317
+ },
1318
+ "Multi-Page Poster Document Visual Question Answering": {
1319
+ "matched_folder": "Multi-PagePosterDocumentVisualQuestionAnswering"
1320
+ },
1321
+ "Multi-Page Presentation Document Visual Question Answering": {
1322
+ "matched_folder": "presentation_docvqa"
1323
+ },
1324
+ "Multi-Page Report Document Visual Question Answering": {
1325
+ "matched_folder": "report_docvqa"
1326
+ },
1327
+ "Multi-Page Request Document Visual Question Answering": {
1328
+ "matched_folder": "request_docvqa"
1329
+ },
1330
+ "Multi-Page Resume Document Visual Question Answering": {
1331
+ "matched_folder": "resume_docvqa"
1332
+ },
1333
+ "Multi-Page Sheet Document Visual Question Answering": {
1334
+ "matched_folder": "sheet_docvqa"
1335
+ },
1336
+ "Person Emotion Detection": {
1337
+ "matched_folder": "person_emotion_detection"
1338
+ },
1339
+ "Pet Face Expression Recognition": {
1340
+ "matched_folder": "pet_face_expression_recognition"
1341
+ },
1342
+ "Emotion Recognition": {
1343
+ "matched_folder": "emotion-detection-fer"
1344
+ },
1345
+ "Face Emotion Recognition": {
1346
+ "matched_folder": "face_emotion_recognition"
1347
+ },
1348
+ "Spectrum Graph Car Classification": {
1349
+ "matched_folder": "Spectrum_Graph_Car_Classification"
1350
+ },
1351
+ "Attribute Hallucination Detection": {
1352
+ "matched_folder": "Attribute_Hallucination_Detection"
1353
+ },
1354
+ "Object Hallucination Detection": {
1355
+ "matched_folder": "Object_Hallucination_Detection"
1356
+ },
1357
+ "Instagram Image Caption": {
1358
+ "matched_folder": "instagram_image_caption"
1359
+ },
1360
+ "Satellite Image Caption": {
1361
+ "matched_folder": "satellite_image_caption"
1362
+ },
1363
+ "Astronomy Image Captioning": {
1364
+ "matched_folder": "astronomy-image-captioning"
1365
+ },
1366
+ "Pedestrian Instance Segmentation": {
1367
+ "matched_folder": "pedestrian_instance_segmentation"
1368
+ },
1369
+ "Vehicle Instance Segmentation": {
1370
+ "matched_folder": "vehicle_instance_segmentation"
1371
+ },
1372
+ "Handwriting OCR": {
1373
+ "matched_folder": "handwriting-component-detection"
1374
+ },
1375
+ "Letter and Number OCR": {
1376
+ "matched_folder": "letter_and_number_ocr"
1377
+ },
1378
+ "License Plate OCR": {
1379
+ "matched_folder": "license_plate_ocr"
1380
+ },
1381
+ "Radical-Level Oracle Bone Character Recognition": {
1382
+ "matched_folder": "Radical-LevelOracleBoneCharacterRecognition"
1383
+ },
1384
+ "Latex Code Recognition": {
1385
+ "matched_folder": "Latex Code Recognition"
1386
+ },
1387
+ "Indoor Semantic Segmentation": {
1388
+ "matched_folder": "indoor_semantic_segmentation"
1389
+ },
1390
+ "Pedestrian Semantic Segmentation": {
1391
+ "matched_folder": "pedestrian_semantic_segmentation"
1392
+ },
1393
+ "Road Semantic Segmentation": {
1394
+ "matched_folder": "Road_Semantic_Segmentation"
1395
+ },
1396
+ "Vehicle Semantic Segmentation": {
1397
+ "matched_folder": "vehicle_semantic_segmentation"
1398
+ },
1399
+ "People Clothing Segmentation": {
1400
+ "matched_folder": "people-clothing-segmentation"
1401
+ },
1402
+ "Flood Area Segmentation": {
1403
+ "matched_folder": "flood-area-segmentation"
1404
+ },
1405
+ "Short Expression Visual Grounding": {
1406
+ "matched_folder": "short_expression_visual_grounding"
1407
+ },
1408
+ "External Knowledge Required Image Question Answering": {
1409
+ "matched_folder": "Internet-Retrieved-InformationVisualQuestionAnswering"
1410
+ },
1411
+ "Medical Image Question Answering": {
1412
+ "matched_folder": "medical_image_qa"
1413
+ },
1414
+ "Reasoning and Compositional Image Question Answering": {
1415
+ "matched_folder": "reasoning_and_compositional_image_qa"
1416
+ },
1417
+ "Geography Visual Question Answering": {
1418
+ "matched_folder": "geography_vqa"
1419
+ },
1420
+ "Geometry Visual Question Answering": {
1421
+ "matched_folder": "geometry_vqa"
1422
+ },
1423
+ "Lung Nodule Diagnosis Visual Question Answering": {
1424
+ "matched_folder": "lung_nodule_diagnosis_vqa"
1425
+ },
1426
+ "Mathematical Statistical Reasoning Visual Question Answering": {
1427
+ "matched_folder": "mathematical_statistical_reasoning_vqa"
1428
+ },
1429
+ "Mathematical Textbook Visual Question Answering": {
1430
+ "matched_folder": "mathematical_textbook_vqa"
1431
+ },
1432
+ "Mathematical Word Problem Visual Question Answering": {
1433
+ "matched_folder": "mathematical_word_problem_vqa"
1434
+ },
1435
+ "Physics Visual Question Answering": {
1436
+ "matched_folder": "physics_vqa"
1437
+ },
1438
+ "Mathematical Synthetic Scene Visual Question Answering": {
1439
+ "matched_folder": "mathematical_synthetic_scene_vqa"
1440
+ },
1441
+ "Remote Sense Visual Question Answering": {
1442
+ "matched_folder": "remote_sense_vqa"
1443
+ },
1444
+ "Skin Disease Visual Question Answering": {
1445
+ "matched_folder": "skin_disease_diagnosis_vqa"
1446
+ },
1447
+ "Internet-Retrieved-Information Visual Question Answering": {
1448
+ "matched_folder": "Internet-Retrieved-InformationVisualQuestionAnswering"
1449
+ },
1450
+ "Webpage Content Visual Question Answering": {
1451
+ "matched_folder": "WebpageContentVisualQuestionAnswering"
1452
+ },
1453
+ "Sporting-related VQA": {
1454
+ "matched_folder": "Sporting-relatedVQA"
1455
+ },
1456
+ "Financial Dialogue VQA": {
1457
+ "matched_folder": "FinancialDialogueVQA"
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624
+ "5": {
625
+ "mask": {
626
+ "size": [
627
+ 1024,
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+ 2048
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+ ],
630
+ "counts": "PPPP2"
631
+ }
632
+ }
633
+ }
634
+ }
635
+ ],
636
+ "set_type": "closeset",
637
+ "domain": "Humanity",
638
+ "general_capability": [
639
+ "Content Recognition",
640
+ "Interactive Capability"
641
+ ],
642
+ "count": 195,
643
+ "task_fullname": "Human Street-Scene Video Object Segmentation",
644
+ "task_id": "#V-C-7-2"
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+ }
Scope-A/S-A-Quick/video/comprehension/HumanVideoObjectSegmentation/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/HumanVisualGrounding/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/IntheWildAnimalVideoObjectSegmentation/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/IntheWildAutomobileVideoObjectSegmentation/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/IntheWildFurnitureVideoObjectSegmentation/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/IntheWildHumanVideoObjectSegmentation/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/PositionMatch/annotation.json ADDED
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1
+ {
2
+ "task": "video object matching",
3
+ "data_source": "MMVM",
4
+ "type": "comprehension",
5
+ "modality": {
6
+ "in": [
7
+ "image",
8
+ "text"
9
+ ],
10
+ "out": [
11
+ "text"
12
+ ]
13
+ },
14
+ "version": 1.0,
15
+ "data": [
16
+ {
17
+ "id": "vm0246",
18
+ "input": {
19
+ "video_folder": "./images/0246",
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+ "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 5 7 4 3 2 9 10 1 11 8 6 12."
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+ },
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+ "output": {}
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+ },
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+ {
25
+ "id": "vm0176",
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+ "input": {
27
+ "video_folder": "./images/0176",
28
+ "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 9 6 4 12 2 11 8 3 1 7 10 5."
29
+ },
30
+ "output": {}
31
+ },
32
+ {
33
+ "id": "vm0203",
34
+ "input": {
35
+ "video_folder": "./images/0203",
36
+ "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 1 9 10 4 8 5 6 3 7 2."
37
+ },
38
+ "output": {}
39
+ },
40
+ {
41
+ "id": "vm0032",
42
+ "input": {
43
+ "video_folder": "./images/0032",
44
+ "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 1 6 3 8 2 4 5 7."
45
+ },
46
+ "output": {}
47
+ },
48
+ {
49
+ "id": "vm0189",
50
+ "input": {
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+ "video_folder": "./images/0189",
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+ "prompt": "There are 4 images numbered from 1 to 4. Which of the following images contains the model plane in the center of Image 1? Please select one option from the options as the answer: 5 7 3 8 4 1 2 6 9."
53
+ },
54
+ "output": {}
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+ }
56
+ ],
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+ "set_type": "closeset",
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+ "domain": "General",
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+ "general_capability": [
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+ "Content Recognition"
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+ ],
62
+ "count": 8,
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+ "task_fullname": "Street Video Depth Estimation",
64
+ "task_id": "#V-C-13-4"
65
+ }
Scope-A/S-A-Quick/video/comprehension/SpatialTemporalDynamicActionDetection/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/SpatialTemporalStaticActionDetection/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/SportsVideoObjectSegmentation/annotation.json ADDED
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Scope-A/S-A-Quick/video/comprehension/StaticVideoDepthEstimation/annotation.json ADDED
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1
+ {
2
+ "task": "StaticVDE",
3
+ "data_source": "ScanNet",
4
+ "type": "video comprehension",
5
+ "modality": {
6
+ "in": [
7
+ "video"
8
+ ],
9
+ "out": [
10
+ "video"
11
+ ]
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+ },
13
+ "version": "1.0",
14
+ "data": [
15
+ {
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+ "input": "scene0723_00_rgb_left.mp4",
17
+ "output": "scene0723_00_disparity.npz",
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+ "id": "scene0723_00"
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+ },
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+ {
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+ "input": "scene0737_00_rgb_left.mp4",
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+ "output": "scene0737_00_disparity.npz",
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+ "id": "scene0737_00"
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+ },
25
+ {
26
+ "input": "scene0782_00_rgb_left.mp4",
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+ "output": "scene0782_00_disparity.npz",
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+ "id": "scene0782_00"
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+ },
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+ {
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+ "input": "scene0769_00_rgb_left.mp4",
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+ "output": "scene0769_00_disparity.npz",
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+ "id": "scene0769_00"
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+ },
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+ {
36
+ "input": "scene0780_00_rgb_left.mp4",
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+ "output": "scene0780_00_disparity.npz",
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+ "id": "scene0780_00"
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+ },
40
+ {
41
+ "input": "scene0749_00_rgb_left.mp4",
42
+ "output": "scene0749_00_disparity.npz",
43
+ "id": "scene0749_00"
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+ },
45
+ {
46
+ "input": "scene0745_00_rgb_left.mp4",
47
+ "output": "scene0745_00_disparity.npz",
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+ "id": "scene0745_00"
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+ },
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+ {
51
+ "input": "scene0742_00_rgb_left.mp4",
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+ "output": "scene0742_00_disparity.npz",
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+ "id": "scene0742_00"
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+ },
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+ {
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+ "input": "scene0804_00_rgb_left.mp4",
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+ "output": "scene0804_00_disparity.npz",
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+ "id": "scene0804_00"
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+ },
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+ {
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+ "input": "scene0724_00_rgb_left.mp4",
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+ "output": "scene0724_00_disparity.npz",
63
+ "id": "scene0724_00"
64
+ }
65
+ ],
66
+ "set_type": "closeset",
67
+ "domain": "General",
68
+ "general_capability": [
69
+ "Content Recognition"
70
+ ],
71
+ "count": 60,
72
+ "task_fullname": "Static Video Depth Estimation",
73
+ "task_id": "#V-C-13-2"
74
+ }
Scope-A/S-A-Quick/video/comprehension/StreetVideoDepthEstimation/annotation.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "task": "StreetVDE",
3
+ "data_source": "KITTI",
4
+ "type": "video comprehension",
5
+ "modality": {
6
+ "in": [
7
+ "video"
8
+ ],
9
+ "out": [
10
+ "video"
11
+ ]
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+ },
13
+ "version": "1.0",
14
+ "data": [
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+ {
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+ "input": "2011_09_26_drive_0023_sync_rgb_left.mp4",
17
+ "output": "2011_09_26_drive_0023_sync_disparity.npz",
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+ "id": "2011_09_26_drive_0023_sync"
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+ },
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+ {
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+ "input": "2011_09_26_drive_0020_sync_rgb_left.mp4",
22
+ "output": "2011_09_26_drive_0020_sync_disparity.npz",
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+ "id": "2011_09_26_drive_0020_sync"
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+ },
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+ {
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+ "input": "2011_09_26_drive_0013_sync_rgb_left.mp4",
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+ "output": "2011_09_26_drive_0013_sync_disparity.npz",
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+ "id": "2011_09_26_drive_0013_sync"
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+ },
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+ {
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+ "input": "2011_09_30_drive_0016_sync_rgb_left.mp4",
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+ "output": "2011_09_30_drive_0016_sync_disparity.npz",
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+ "id": "2011_09_30_drive_0016_sync"
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+ },
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+ {
36
+ "input": "2011_09_29_drive_0026_sync_rgb_left.mp4",
37
+ "output": "2011_09_29_drive_0026_sync_disparity.npz",
38
+ "id": "2011_09_29_drive_0026_sync"
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+ },
40
+ {
41
+ "input": "2011_09_26_drive_0079_sync_rgb_left.mp4",
42
+ "output": "2011_09_26_drive_0079_sync_disparity.npz",
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+ "id": "2011_09_26_drive_0079_sync"
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+ },
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+ {
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+ "input": "2011_09_26_drive_0036_sync_rgb_left.mp4",
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+ "output": "2011_09_26_drive_0036_sync_disparity.npz",
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+ "id": "2011_09_26_drive_0036_sync"
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+ },
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+ {
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+ "input": "2011_09_26_drive_0002_sync_rgb_left.mp4",
52
+ "output": "2011_09_26_drive_0002_sync_disparity.npz",
53
+ "id": "2011_09_26_drive_0002_sync"
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+ }
55
+ ],
56
+ "set_type": "closeset",
57
+ "domain": "General",
58
+ "general_capability": [
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+ "Content Recognition"
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+ ],
61
+ "count": 8,
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+ "task_fullname": "Street Video Depth Estimation",
63
+ "task_id": "#V-C-13-4"
64
+ }
Scope-A/S-A-Quick/video/comprehension/SyntheticVideoDepthEstimation/annotation.json ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "task": "SynVDE",
3
+ "data_source": "Sintel",
4
+ "type": "video comprehension",
5
+ "modality": {
6
+ "in": [
7
+ "video"
8
+ ],
9
+ "out": [
10
+ "video"
11
+ ]
12
+ },
13
+ "version": "1.0",
14
+ "data": [
15
+ {
16
+ "input": "cave_4_rgb_left.mp4",
17
+ "output": "cave_4_disparity.npz",
18
+ "id": "cave_4"
19
+ },
20
+ {
21
+ "input": "market_5_rgb_left.mp4",
22
+ "output": "market_5_disparity.npz",
23
+ "id": "market_5"
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+ },
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+ {
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+ "input": "ambush_6_rgb_left.mp4",
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+ "output": "ambush_6_disparity.npz",
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+ "id": "ambush_6"
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+ },
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+ {
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+ "input": "mountain_1_rgb_left.mp4",
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+ "output": "mountain_1_disparity.npz",
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+ "id": "mountain_1"
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+ },
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+ {
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+ "input": "shaman_2_rgb_left.mp4",
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+ "output": "shaman_2_disparity.npz",
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+ "id": "shaman_2"
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+ },
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+ {
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+ "input": "temple_3_rgb_left.mp4",
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+ "output": "temple_3_disparity.npz",
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+ "id": "temple_3"
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+ },
45
+ {
46
+ "input": "market_2_rgb_left.mp4",
47
+ "output": "market_2_disparity.npz",
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+ "id": "market_2"
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+ },
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+ {
51
+ "input": "bamboo_2_rgb_left.mp4",
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+ "output": "bamboo_2_disparity.npz",
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+ "id": "bamboo_2"
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+ },
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+ {
56
+ "input": "cave_2_rgb_left.mp4",
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+ "output": "cave_2_disparity.npz",
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+ "id": "cave_2"
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+ },
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+ {
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+ "input": "alley_1_rgb_left.mp4",
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+ "output": "alley_1_disparity.npz",
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+ "id": "alley_1"
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+ }
65
+ ],
66
+ "set_type": "closeset",
67
+ "domain": "General",
68
+ "general_capability": [
69
+ "Content Recognition"
70
+ ],
71
+ "count": 14,
72
+ "task_fullname": "Synthetic Video Depth Estimation",
73
+ "task_id": "#V-C-13-1"
74
+ }