Comments (1)
The small proportion of those big elements may come from noisy estimated keypoints, which may further due to noisy input bounding box, etc. In our work, TOKS is only used as one type of input keypoint features and it measures the temporal difference between two keypoints. The model learns to utilize this feature. In our initial experiments on the Volleyball dataset, we found this feature can improve the model's group activity recognition performance.
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Related Issues (12)
- ModuleNotFoundError: No module named 'datasets.collective' HOT 2
- about dataset collective activity HOT 3
- The sinkhorn algorithm HOT 1
- The dataset sharing link has exceed, could you please share a new one ? HOT 2
- Q about ablations in paper HOT 1
- The Volleyball data folder can not be opened. HOT 2
- Cannot run collective dynamic
- volleyball.zip can't download HOT 1
- hello HOT 1
- Unable to reproduce the results HOT 1
- Cannot find the checkpoint link HOT 3
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