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Models/STGAT

STGAT

Reported on 56 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 Vision21 results

  • VideoonKinetics-400
    Actions Top-1 (S1)· 2022-08-18
    39.2
    SOTA
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Temporal Action LocalizationonKinetics-400
    Actions Top-1 (S1)· 2022-08-18
    39.2
    SOTA
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action LocalizationonKinetics-400
    Actions Top-1 (S1)· 2022-08-18
    39.2
    SOTA
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-18
    90.4
    best: 92.2 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-18
    88.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • VideoonNTU RGB+D 120
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • VideoonNTU RGB+D
    Accuracy (CS)· 2022-08-18
    92.8
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • VideoonNTU RGB+D
    Accuracy (CV)· 2022-08-18
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • VideoonNTU RGB+D
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-18
    90.4
    best: 92.2 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-18
    88.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Temporal Action LocalizationonNTU RGB+D 120
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2022-08-18
    92.8
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2022-08-18
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Temporal Action LocalizationonNTU RGB+D
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-18
    90.4
    best: 92.2 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-18
    88.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action LocalizationonNTU RGB+D 120
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2022-08-18
    92.8
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2022-08-18
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action LocalizationonNTU RGB+D
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599

Time Series14 results

  • Action DetectiononKinetics-400
    Actions Top-1 (S1)· 2022-08-18
    39.2
    SOTA
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action RecognitiononKinetics-400
    Actions Top-1 (S1)· 2022-08-18
    39.2
    SOTA
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-18
    90.4
    best: 92.2 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-18
    88.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action DetectiononNTU RGB+D 120
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action DetectiononNTU RGB+D
    Accuracy (CS)· 2022-08-18
    92.8
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action DetectiononNTU RGB+D
    Accuracy (CV)· 2022-08-18
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action DetectiononNTU RGB+D
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-18
    90.4
    best: 96.7 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-18
    88.7
    best: 95.6 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-08-18
    92.8
    best: 97.4 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-08-18
    97.3
    best: 99.6 (PoseC3D (RGB + Pose))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Action RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599

Methodology7 results

  • Zero-Shot LearningonKinetics-400
    Actions Top-1 (S1)· 2022-08-18
    39.2
    SOTA
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-18
    90.4
    best: 92.2 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-18
    88.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Zero-Shot LearningonNTU RGB+D 120
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)· 2022-08-18
    92.8
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)· 2022-08-18
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Zero-Shot LearningonNTU RGB+D
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599

Robots7 results

  • Activity RecognitiononKinetics-400
    Actions Top-1 (S1)· 2022-08-18
    39.2
    SOTA
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-18
    90.4
    best: 96.7 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-18
    88.7
    best: 95.6 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Activity RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-08-18
    92.8
    best: 97.4 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-08-18
    97.3
    best: 99.6 (PoseC3D (RGB + Pose))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • Activity RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599

Natural Language Processing7 results

  • 3D Action RecognitiononKinetics-400
    Actions Top-1 (S1)· 2022-08-18
    39.2
    SOTA
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-18
    90.4
    best: 92.2 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-18
    88.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • 3D Action RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-08-18
    92.8
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-08-18
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599
  • 3D Action RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-08-18
    4
    best: 6 (ProtoGCN)
    Spatial Temporal Graph Attention Network for Skeleton-Based Action RecognitionarXiv:2208.08599