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Models/CoS-TR*

CoS-TR*

Reported on 24 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 Vision9 results

VideoonNTU RGB+D
Accuracy (CS)· 2022-03-21
86.3
best: 94.3 (Hulk(Finetune, ViT-L))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
VideoonNTU RGB+D
Accuracy (CV)· 2022-03-21
92.4
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
VideoonNTU RGB+D
GFLOPs per pred· 2022-03-21
0.15
best: 16.73 (ST-GCN)
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Temporal Action LocalizationonNTU RGB+D
Accuracy (CS)· 2022-03-21
86.3
best: 94.3 (Hulk(Finetune, ViT-L))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Temporal Action LocalizationonNTU RGB+D
Accuracy (CV)· 2022-03-21
92.4
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Temporal Action LocalizationonNTU RGB+D
GFLOPs per pred· 2022-03-21
0.15
best: 16.73 (ST-GCN)
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action LocalizationonNTU RGB+D
Accuracy (CS)· 2022-03-21
86.3
best: 94.3 (Hulk(Finetune, ViT-L))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action LocalizationonNTU RGB+D
Accuracy (CV)· 2022-03-21
92.4
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action LocalizationonNTU RGB+D
GFLOPs per pred· 2022-03-21
0.15
best: 16.73 (ST-GCN)
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009

Time Series6 results

Action DetectiononNTU RGB+D
Accuracy (CS)· 2022-03-21
86.3
best: 94.3 (Hulk(Finetune, ViT-L))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action DetectiononNTU RGB+D
Accuracy (CV)· 2022-03-21
92.4
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action DetectiononNTU RGB+D
GFLOPs per pred· 2022-03-21
0.15
best: 16.73 (ST-GCN)
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action RecognitiononNTU RGB+D
Accuracy (CS)· 2022-03-21
86.3
best: 97.4 (DSCNet (RGB + Pose))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action RecognitiononNTU RGB+D
Accuracy (CV)· 2022-03-21
92.4
best: 99.6 (PoseC3D (RGB + Pose))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Action RecognitiononNTU RGB+D
GFLOPs per pred· 2022-03-21
0.15
best: 16.73 (ST-GCN)
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009

Methodology3 results

Zero-Shot LearningonNTU RGB+D
Accuracy (CS)· 2022-03-21
86.3
best: 94.3 (Hulk(Finetune, ViT-L))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Zero-Shot LearningonNTU RGB+D
Accuracy (CV)· 2022-03-21
92.4
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Zero-Shot LearningonNTU RGB+D
GFLOPs per pred· 2022-03-21
0.15
best: 16.73 (ST-GCN)
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009

Robots3 results

Activity RecognitiononNTU RGB+D
Accuracy (CS)· 2022-03-21
86.3
best: 97.4 (DSCNet (RGB + Pose))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Activity RecognitiononNTU RGB+D
Accuracy (CV)· 2022-03-21
92.4
best: 99.6 (PoseC3D (RGB + Pose))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
Activity RecognitiononNTU RGB+D
GFLOPs per pred· 2022-03-21
0.15
best: 16.73 (ST-GCN)
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009

Natural Language Processing3 results

3D Action RecognitiononNTU RGB+D
Accuracy (CS)· 2022-03-21
86.3
best: 94.3 (Hulk(Finetune, ViT-L))
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
3D Action RecognitiononNTU RGB+D
Accuracy (CV)· 2022-03-21
92.4
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009
3D Action RecognitiononNTU RGB+D
GFLOPs per pred· 2022-03-21
0.15
best: 16.73 (ST-GCN)
Continual Spatio-Temporal Graph Convolutional Networks arXiv:2203.11009