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Models/AutoGCN

AutoGCN

Reported on 16 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 Vision6 results

VideoonNTU RGB+D
Accuracy (CS)· 2024-02-02
88.3
best: 94.3 (Hulk(Finetune, ViT-L))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
VideoonNTU RGB+D
Accuracy (CV)· 2024-02-02
95.5
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Temporal Action LocalizationonNTU RGB+D
Accuracy (CS)· 2024-02-02
88.3
best: 94.3 (Hulk(Finetune, ViT-L))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Temporal Action LocalizationonNTU RGB+D
Accuracy (CV)· 2024-02-02
95.5
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Action LocalizationonNTU RGB+D
Accuracy (CS)· 2024-02-02
88.3
best: 94.3 (Hulk(Finetune, ViT-L))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Action LocalizationonNTU RGB+D
Accuracy (CV)· 2024-02-02
95.5
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313

Time Series4 results

Action DetectiononNTU RGB+D
Accuracy (CS)· 2024-02-02
88.3
best: 94.3 (Hulk(Finetune, ViT-L))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Action DetectiononNTU RGB+D
Accuracy (CV)· 2024-02-02
95.5
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Action RecognitiononNTU RGB+D
Accuracy (CS)· 2024-02-02
88.3
best: 97.4 (DSCNet (RGB + Pose))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Action RecognitiononNTU RGB+D
Accuracy (CV)· 2024-02-02
95.5
best: 99.6 (PoseC3D (RGB + Pose))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313

Methodology2 results

Zero-Shot LearningonNTU RGB+D
Accuracy (CS)· 2024-02-02
88.3
best: 94.3 (Hulk(Finetune, ViT-L))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Zero-Shot LearningonNTU RGB+D
Accuracy (CV)· 2024-02-02
95.5
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313

Robots2 results

Activity RecognitiononNTU RGB+D
Accuracy (CS)· 2024-02-02
88.3
best: 97.4 (DSCNet (RGB + Pose))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
Activity RecognitiononNTU RGB+D
Accuracy (CV)· 2024-02-02
95.5
best: 99.6 (PoseC3D (RGB + Pose))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313

Natural Language Processing2 results

3D Action RecognitiononNTU RGB+D
Accuracy (CS)· 2024-02-02
88.3
best: 94.3 (Hulk(Finetune, ViT-L))
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313
3D Action RecognitiononNTU RGB+D
Accuracy (CV)· 2024-02-02
95.5
best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search arXiv:2402.01313