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Models/Chained

Chained

Reported on 8 benchmarks across 8 tasks · 1 paper · 8 SOTA

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

Computer Vision3 results

VideoonJHMDB (2D poses only)
Average accuracy of 3 splits· 2017-04-03
56.8
best: 86.1 (HT-ConvNet)
SOTA
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection arXiv:1704.00616
Temporal Action LocalizationonJHMDB (2D poses only)
Average accuracy of 3 splits· 2017-04-03
56.8
best: 86.1 (HT-ConvNet)
SOTA
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection arXiv:1704.00616
Action LocalizationonJHMDB (2D poses only)
Average accuracy of 3 splits· 2017-04-03
56.8
best: 86.1 (HT-ConvNet)
SOTA
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection arXiv:1704.00616

Time Series2 results

Action DetectiononJHMDB (2D poses only)
Average accuracy of 3 splits· 2017-04-03
56.8
best: 86.1 (HT-ConvNet)
SOTA
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection arXiv:1704.00616
Action RecognitiononJHMDB (2D poses only)
Average accuracy of 3 splits· 2017-04-03
56.8
best: 86.1 (HT-ConvNet)
SOTA
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection arXiv:1704.00616

Methodology1 result

Zero-Shot LearningonJHMDB (2D poses only)
Average accuracy of 3 splits· 2017-04-03
56.8
best: 86.1 (HT-ConvNet)
SOTA
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection arXiv:1704.00616

Robots1 result

Activity RecognitiononJHMDB (2D poses only)
Average accuracy of 3 splits· 2017-04-03
56.8
best: 86.1 (HT-ConvNet)
SOTA
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection arXiv:1704.00616

Natural Language Processing1 result

3D Action RecognitiononJHMDB (2D poses only)
Average accuracy of 3 splits· 2017-04-03
56.8
best: 86.1 (HT-ConvNet)
SOTA
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection arXiv:1704.00616