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Models/CNN+Motion+Trans

CNN+Motion+Trans

Reported on 16 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 Vision6 results

VideoonNTU RGB+D
Accuracy (CV)· 2017-04-25
89.3
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
SOTA
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Temporal Action LocalizationonNTU RGB+D
Accuracy (CV)· 2017-04-25
89.3
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
SOTA
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Action LocalizationonNTU RGB+D
Accuracy (CV)· 2017-04-25
89.3
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
SOTA
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
VideoonNTU RGB+D
Accuracy (CS)· 2017-04-25
83.2
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Temporal Action LocalizationonNTU RGB+D
Accuracy (CS)· 2017-04-25
83.2
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Action LocalizationonNTU RGB+D
Accuracy (CS)· 2017-04-25
83.2
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595

Time Series4 results

Action DetectiononNTU RGB+D
Accuracy (CV)· 2017-04-25
89.3
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
SOTA
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Action RecognitiononNTU RGB+D
Accuracy (CV)· 2017-04-25
89.3
best: 99.6 (PoseC3D (RGB + Pose))
SOTA
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Action DetectiononNTU RGB+D
Accuracy (CS)· 2017-04-25
83.2
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Action RecognitiononNTU RGB+D
Accuracy (CS)· 2017-04-25
83.2
best: 97.4 (DSCNet (RGB + Pose))
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595

Methodology2 results

Zero-Shot LearningonNTU RGB+D
Accuracy (CV)· 2017-04-25
89.3
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
SOTA
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Zero-Shot LearningonNTU RGB+D
Accuracy (CS)· 2017-04-25
83.2
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595

Robots2 results

Activity RecognitiononNTU RGB+D
Accuracy (CV)· 2017-04-25
89.3
best: 99.6 (PoseC3D (RGB + Pose))
SOTA
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
Activity RecognitiononNTU RGB+D
Accuracy (CS)· 2017-04-25
83.2
best: 97.4 (DSCNet (RGB + Pose))
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595

Natural Language Processing2 results

3D Action RecognitiononNTU RGB+D
Accuracy (CV)· 2017-04-25
89.3
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
SOTA
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595
3D Action RecognitiononNTU RGB+D
Accuracy (CS)· 2017-04-25
83.2
best: 94.3 (Hulk(Finetune, ViT-L))
Skeleton-based Action Recognition with Convolutional Neural Networks arXiv:1704.07595