zhengmingwu
commited on
Commit
Β·
90ae096
1
Parent(s):
1c1cba7
update scope-c task
Browse files- Scope-C/3d-comp.json +10 -10
- Scope-C/3d-gen.json +28 -6
- Scope-C/img-comp.json +0 -3
- Scope-C/vid-comp.json +113 -11
- Scope-C/vid-gen.json +1 -1
Scope-C/3d-comp.json
CHANGED
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@@ -16,10 +16,11 @@
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"3D Person Classification": "3d_classification/ModelNet40/person"
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}
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],
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-
"3D Geometry Feature Analysis": [
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"3D Structure and Environment Classification": [
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{
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"3D Furniture Classification": "3d_classification/ModelNet40/furniture"
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@@ -38,22 +39,22 @@
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],
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"3D Indoor Scene Semantic Segmentation": [
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{
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"3D Indoor Appliance Semantic Segmentation": "3d_indoor_semantic_segmentation"
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}
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],
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"3D Outdoor Scene Semantic Segmentation": [
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{
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"3D Outdoor Semantic Segmentation": "3d_outdoor_semantic_segmentation"
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}
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],
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"3D Indoor Scene Instance Segmentation": [
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{
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"3D Indoor Instance Segmentation": "3d_outdoor_instance_segmentation"
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}
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],
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"3D Pose Estimation": [
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{
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"3D Odometry": "3d_outdoor_odometry"
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}
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],
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"3D Part Segmentation": [
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@@ -75,6 +76,5 @@
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{
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"3D Weapon Part Segmentation": "3d_part_segmentation/weapons"
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}
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]
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"3D Tracking": []
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}
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"3D Person Classification": "3d_classification/ModelNet40/person"
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}
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],
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"3D Geometry Feature Analysis": [
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{
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"3D Normal Estimation": "3d_normal_estimation"
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}
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],
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"3D Structure and Environment Classification": [
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{
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"3D Furniture Classification": "3d_classification/ModelNet40/furniture"
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],
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"3D Indoor Scene Semantic Segmentation": [
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{
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"3D Indoor Appliance Semantic Segmentation": "3d_indoor_semantic_segmentation/scannet"
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}
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],
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"3D Outdoor Scene Semantic Segmentation": [
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{
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"3D Outdoor Semantic Segmentation": "3d_outdoor_semantic_segmentation/semantic_kitti"
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}
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],
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"3D Indoor Scene Instance Segmentation": [
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{
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"3D Indoor Instance Segmentation": "3d_outdoor_instance_segmentation/semantic_kitti"
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}
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],
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"3D Pose Estimation": [
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{
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"3D Odometry": "3d_outdoor_odometry/kitti_odometry"
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}
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],
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"3D Part Segmentation": [
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{
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"3D Weapon Part Segmentation": "3d_part_segmentation/weapons"
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}
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]
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}
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Scope-C/3d-gen.json
CHANGED
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@@ -1,6 +1,17 @@
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{
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"Point Cloud Completion": [
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"Text to Point Cloud Generation": [
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{
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"Text to 3D Living and Arts Point Cloud Generation": "text_2_3d_pointcloud_gen"
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@@ -29,12 +40,23 @@
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"Text to 3D Culture and Structure Mesh Generation": "text_2_3d_mesh_gen"
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}
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],
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"Image to
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"RGB-D to Mesh Reconstruction": [
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{
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"RGB-D to Mesh Reconstruction": "rgbd_to_mesh"
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}
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],
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"Text to 3D Motion Generation": [
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{
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"Point Cloud Completion": [
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{
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"3D Point Cloud Completion": "3d_point_cloud_completion"
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}
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],
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"Point Cloud to Mesh Reconstruction": [
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{
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"Point Cloud to Mesh Object Reconstruction": "point_cloud_2_mesh_object_reconstruction"
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},
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{
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"Point Cloud to Mesh Scene Reconstruction": "point_cloud_2_mesh_scene_reconstruction"
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}
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],
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"Text to Point Cloud Generation": [
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{
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"Text to 3D Living and Arts Point Cloud Generation": "text_2_3d_pointcloud_gen"
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"Text to 3D Culture and Structure Mesh Generation": "text_2_3d_mesh_gen"
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}
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],
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"Image to Mesh Generation": [
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{
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"Living and Arts Image to 3D Mesh Generation": "close.tar.gz"
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},
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{
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"Science and Technology Image to 3D Mesh Generation": "close.tar.gz"
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},
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{
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"Nature and Biology Image to 3D Mesh Generation": "close.tar.gz"
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},
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{
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"Culture and Structure Image to 3D Mesh Generation": "close.tar.gz"
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}
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],
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"RGB-D to Mesh Reconstruction": [
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{
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"RGB-D to Mesh Reconstruction": "rgbd_to_mesh/scannet"
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}
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],
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"Text to 3D Motion Generation": [
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Scope-C/img-comp.json
CHANGED
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@@ -15,7 +15,6 @@
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"Astronomy Image Captioning": "astronomy-image-captioning"
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}
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],
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"Image Depth Estimation": [],
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"Image Instance Segmentation": [
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{
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"Pedestrian Instance Segmentation": "pedestrian_instance_segmentation"
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@@ -522,7 +521,6 @@
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"Road Scene Panoptic Segmentation": "road_scene_panoptic_segmentation"
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}
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],
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"Crack Detection": [],
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"Pose Recognition": [
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{
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"Yoga Pose Recognition": "GenderRecognition"
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@@ -629,7 +627,6 @@
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"Plant Disease Detection": "plant-disease-detection"
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}
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],
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"Weather Recognition": [],
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"Disease Recognition": [
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{
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"Fruit Disease Recognition": "fruit_disease_recognition"
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"Astronomy Image Captioning": "astronomy-image-captioning"
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}
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],
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"Image Instance Segmentation": [
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{
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"Pedestrian Instance Segmentation": "pedestrian_instance_segmentation"
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"Road Scene Panoptic Segmentation": "road_scene_panoptic_segmentation"
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}
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],
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"Pose Recognition": [
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{
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"Yoga Pose Recognition": "GenderRecognition"
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"Plant Disease Detection": "plant-disease-detection"
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}
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],
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"Disease Recognition": [
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{
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"Fruit Disease Recognition": "fruit_disease_recognition"
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Scope-C/vid-comp.json
CHANGED
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@@ -52,10 +52,56 @@
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"Human-Object Interaction Video Question Answering": "HumanObjectInteractionVideoQuestionAnswering.zip"
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}
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],
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"Temporal Action Detection": [
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"Object Matching": [
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{
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"Color Aware Object Matching": "ColorMatch.zip"
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"Size Aware Object Matching": "SizeMatch.zip"
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},
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{
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-
"Relative Position Aware Object Matching": "
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},
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{
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"Orientation and Movement Aware Object Matching": "MotionMatch.zip"
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},
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{
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"Object Markers Aware Object Matching": "ObjectMarkerMatch.zip"
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}
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"Human Part Tracking": "HumanPartTrack.zip"
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},
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{
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"General Objects Part Tracking": "
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}
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],
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"Long Video Tracking": [
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@@ -301,9 +350,62 @@
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"Humor Video Captioning": "HumorVideoCaptioning.zip"
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}
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],
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"In-the-Wild Video Object Segmentation": [
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}
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"Human-Object Interaction Video Question Answering": "HumanObjectInteractionVideoQuestionAnswering.zip"
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}
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],
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"Temporal Action Detection": [
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{
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"Spatio-Temporal Static Action Detection": "SpatialTemporalStaticActionDetection.zip"
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},
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{
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"Spatio-Temporal Dynamic Action Detection": "SpatialTemporalDynamicActionDetection.zip"
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}
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],
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"Complex-Scene Reasoning Video Object Segmentation": [
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{
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"Human Complex-Scene Reasoning Video Object Segmentation": "HumanComplexSceneReasoningVideoObjectSegmentation.zip"
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},
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{
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"Animal Complex-Scene Reasoning Video Object Segmentation": "AnimalComplexSceneReasoningVideoObjectSegmentation.zip"
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},
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{
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"Automobile Complex-Scene Reasoning Video Object Segmentation": "AutomobileComplexSceneReasoningVideoObjectSegmentation.zip"
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},
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{
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"Human and Part Complex-Scene Reasoning Video Object Segmentation": "HumanPartComplexSceneReasoningVideoObjectSegmentation.zip"
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},
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{
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"Equipment Complex-Scene Reasoning Video Object Segmentation": "EquipmentComplexSceneReasoningVideoObjectSegmentation.zip"
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}
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],
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"Video Grounding": [
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{
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"Human Video Grounding": "HumanVisualGrounding.zip"
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},
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{
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"Animal Video Grounding": "AnimalVisualGrounding.zip"
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},
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{
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"Automobile Video Grounding": "AutomobileVisualGrounding.zip"
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}
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],
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"Video Depth Estimation": [
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{
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"Sythetic Video Depth Estimation": "SyntheticVideoDepthEstimation.zip"
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},
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{
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"Indoor Static Video Depth Estimation": "StaticVideoDepthEstimation.zip"
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},
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{
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"Indoor Dynamic Video Depth Estimation": "DynamicVideoDepthEstimation.zip"
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},
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{
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"Street Scene Video Depth Estimation": "StreetVideoDepthEstimation.zip"
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}
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],
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"Object Matching": [
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{
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"Color Aware Object Matching": "ColorMatch.zip"
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"Size Aware Object Matching": "SizeMatch.zip"
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},
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{
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"Relative Position Aware Object Matching": "PositionMatch.zip"
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},
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{
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"Orientation and Movement Aware Object Matching": "MotionMatch.zip"
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},
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{
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"Binding Relationship Aware Object Matching": "RelationMatch.zip"
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},
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{
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"Object Markers Aware Object Matching": "ObjectMarkerMatch.zip"
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}
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"Human Part Tracking": "HumanPartTrack.zip"
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},
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{
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"General Objects Part Tracking": "GeneralObjectsPartTrack.zip"
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}
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],
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"Long Video Tracking": [
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"Humor Video Captioning": "HumorVideoCaptioning.zip"
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}
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],
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"In-the-Wild Video Object Segmentation": [
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{
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"In the Wild Automobile Video Object Segmentation": "IntheWildAutomobileVideoObjectSegmentation.zip"
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},
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{
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"In the Wild Human Video Object Segmentation": "IntheWildHumanVideoObjectSegmentation.zip"
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},
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{
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"In the Wild Animal Video Object Segmentation": "IntheWildAnimalVideoObjectSegmentation.zip"
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},
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{
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"In the Wild Furniture Video Object Segmentation": "IntheWildFurnitureVideoObjectSegmentation.zip"
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}
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],
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| 367 |
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"General Video Object Segmentation": [
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{
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"Automobile Video Object Segmentation": "AutomobileVideoObjectSegmentation.zip"
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},
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{
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"Human Video Object Segmentation": "HumanVideoObjectSegmentation.zip"
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},
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{
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"Animal Video Object Segmentation": "AnimalVideoObjectSegmentation.zip"
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},
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{
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"Sports Video Object Segmentation": "SportsVideoObjectSegmentation.zip"
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}
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],
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"Street-Scene Video Object Segmentation": [
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{
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"Automobile Street-Scene Video Object Segmentation": "AutomobileStreetSceneVideoObjectSegmentation.zip"
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| 384 |
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},
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| 385 |
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{
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| 386 |
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"Human Street-Scene Video Object Segmentation": "HumanStreetSceneVideoObjectSegmentation.zip"
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},
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{
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"Bicycle Street-Scene Video Object Segmentation": "BicycleStreetSceneVideoObjectSegmentation.zip"
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| 390 |
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}
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],
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| 392 |
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"Referring Video Object Segmentation": [
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{
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| 394 |
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"Human Referring Video Object Segmentation": "HumanReferringVideoObjectSegmentation.zip"
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},
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| 396 |
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{
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"Animal Referring Video Object Segmentation": "AnimalReferringVideoObjectSegmentation.zip"
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| 398 |
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},
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{
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| 400 |
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"Human Reasoning Video Object Segmentation": "HumanReasoningVideoObjectSegmentation.zip"
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}
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],
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| 403 |
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"Reasoning Video Object Segmentation": [
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{
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| 405 |
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"Animal Reasoning Video Object Segmentation": "AnimalReasoningVideoObjectSegmentation.zip"
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| 406 |
+
},
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| 407 |
+
{
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| 408 |
+
"Automobile Reasoning Video Object Segmentation": "AutomobileReasoningVideoObjectSegmentation.zip"
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| 409 |
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}
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| 410 |
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]
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| 411 |
}
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Scope-C/vid-gen.json
CHANGED
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@@ -143,7 +143,7 @@
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"Video Deblurring": "VideoDeblurring.zip"
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},
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| 145 |
{
|
| 146 |
-
"Video Translation": "
|
| 147 |
},
|
| 148 |
{
|
| 149 |
"Portrait Video Style Transfer": "PortraitVideoStyleTransfer.zip"
|
|
|
|
| 143 |
"Video Deblurring": "VideoDeblurring.zip"
|
| 144 |
},
|
| 145 |
{
|
| 146 |
+
"Video Translation": "VideoTranslation.zip"
|
| 147 |
},
|
| 148 |
{
|
| 149 |
"Portrait Video Style Transfer": "PortraitVideoStyleTransfer.zip"
|