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npz
dict | __key__
string | __url__
string |
|---|---|---|
{"J":[[0.0,0.0,0.0],[0.0581791028380394,-0.08346283435821533,-0.018189886584877968],[-0.059192236512(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/118_118_14_poses_0
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.05512211099267006,-0.0803082287311554,-0.020252810791134834],[-0.056630071252(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/132_132_35_poses_0
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.05938851088285446,-0.08521091938018799,-0.014492781832814217],[-0.06084275990(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/27_27_08_poses_0
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.05224892869591713,-0.07673865556716919,-0.01957632228732109],[-0.054512955248(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/79_79_77_poses_2
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.061504755169153214,-0.08542004227638245,-0.016227880492806435],[-0.0644373297(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/125_125_02_poses_1
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.05587983876466751,-0.08040323853492737,-0.016104215756058693],[-0.05750869959(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/133_133_16_poses_2
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.0630994364619255,-0.08294779062271118,-0.015811089426279068],[-0.065399773418(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/105_105_51_poses_1
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.056300316005945206,-0.08104395866394043,-0.012444445863366127],[-0.0572110004(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/140_140_01_poses_1
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.07604046165943146,-0.09192171692848206,-0.005834072828292847],[-0.07806720584(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/84_84_13_poses_0
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
{"J":[[0.0,0.0,0.0],[0.05963493883609772,-0.07993683218955994,-0.01251339539885521],[-0.061198972165(...TRUNCATED) |
train_torch_4_corrupt_0.1_0.1_0.3/113_113_12_poses_0
|
hf://datasets/chen-qian/CMU-Occlu@39e40f502bce75ef3883aa37c86ec143d7ba0fb6/cmu-occlu-train.tar.gz
|
End of preview.
Dataset for paper: arxiv.org/abs/2508.12610
CMU-occlu-test: markers with random occlusion, optical occlusion, and shift
CMU-occlu-train: markers with random occlusion, optical occlusion, and shift
CMU-optical-train: markers with optical occlusion only
You may need the following data:
M1: Processed markers with noise
M: All marker information
J_t: Joint positions
J_R: Joint rotations
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