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Models/CoS-TR (1-stream)

CoS-TR (1-stream)

Reported on 8 benchmarks across 8 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

VideoonKinetics-Skeleton dataset
Accuracy· 2022-03-21
29.7
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Temporal Action LocalizationonKinetics-Skeleton dataset
Accuracy· 2022-03-21
29.7
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action LocalizationonKinetics-Skeleton dataset
Accuracy· 2022-03-21
29.7
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009

Time Series2 results

Action DetectiononKinetics-Skeleton dataset
Accuracy· 2022-03-21
29.7
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action RecognitiononKinetics-Skeleton dataset
Accuracy· 2022-03-21
29.7
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009

Methodology1 result

Zero-Shot LearningonKinetics-Skeleton dataset
Accuracy· 2022-03-21
29.7
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009

Robots1 result

Activity RecognitiononKinetics-Skeleton dataset
Accuracy· 2022-03-21
29.7
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009

Natural Language Processing1 result

3D Action RecognitiononKinetics-Skeleton dataset
Accuracy· 2022-03-21
29.7
best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009