TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/ST-GCN

ST-GCN

Reported on 42 benchmarks across 8 tasks · 2 papers · 26 SOTA

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

Computer Vision21 results

  • VideoonNTU RGB+D
    GFLOPs per pred· 2022-03-21
    16.73
    SOTA
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Temporal Action LocalizationonNTU RGB+D
    GFLOPs per pred· 2022-03-21
    16.73
    SOTA
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action LocalizationonNTU RGB+D
    GFLOPs per pred· 2022-03-21
    16.73
    SOTA
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • VideoonUAV-Human
    CSv1(%)· 2018-01-23
    30.25
    best: 47.96 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • VideoonUAV-Human
    CSv2(%)· 2018-01-23
    56.14
    best: 75.36 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Temporal Action LocalizationonUAV-Human
    CSv1(%)· 2018-01-23
    30.25
    best: 47.96 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Temporal Action LocalizationonUAV-Human
    CSv2(%)· 2018-01-23
    56.14
    best: 75.36 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action LocalizationonUAV-Human
    CSv1(%)· 2018-01-23
    30.25
    best: 47.96 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action LocalizationonUAV-Human
    CSv2(%)· 2018-01-23
    56.14
    best: 75.36 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • VideoonNTU RGB+D
    Accuracy (CS)· 2022-03-21
    86
    best: 94.3 (Hulk(Finetune, ViT-L))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • VideoonNTU RGB+D
    Accuracy (CV)· 2022-03-21
    93.4
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2022-03-21
    86
    best: 94.3 (Hulk(Finetune, ViT-L))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2022-03-21
    93.4
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2022-03-21
    86
    best: 94.3 (Hulk(Finetune, ViT-L))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2022-03-21
    93.4
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • VideoonNTU RGB+D
    Accuracy (CS)· 2018-01-23
    81.5
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • VideoonNTU RGB+D
    Accuracy (CV)· 2018-01-23
    88.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2018-01-23
    81.5
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2018-01-23
    88.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2018-01-23
    81.5
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2018-01-23
    88.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455

Time Series15 results

  • Action DetectiononNTU RGB+D
    GFLOPs per pred· 2022-03-21
    16.73
    SOTA
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action RecognitiononNTU RGB+D
    GFLOPs per pred· 2022-03-21
    16.73
    SOTA
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action DetectiononUAV-Human
    CSv1(%)· 2018-01-23
    30.25
    best: 47.96 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action DetectiononUAV-Human
    CSv2(%)· 2018-01-23
    56.14
    best: 75.36 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action RecognitiononH2O (2 Hands and Objects)
    Actions Top-1· 2018-01-23
    73.86
    best: 93.39 (HandFormer-B/21x8)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action RecognitiononUAV-Human
    CSv1(%)· 2018-01-23
    30.25
    best: 47.96 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action RecognitiononUAV-Human
    CSv2(%)· 2018-01-23
    56.14
    best: 75.36 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action DetectiononNTU RGB+D
    Accuracy (CS)· 2022-03-21
    86
    best: 94.3 (Hulk(Finetune, ViT-L))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action DetectiononNTU RGB+D
    Accuracy (CV)· 2022-03-21
    93.4
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-03-21
    86
    best: 97.4 (DSCNet (RGB + Pose))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-03-21
    93.4
    best: 99.6 (PoseC3D (RGB + Pose))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Action DetectiononNTU RGB+D
    Accuracy (CS)· 2018-01-23
    81.5
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action DetectiononNTU RGB+D
    Accuracy (CV)· 2018-01-23
    88.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2018-01-23
    81.5
    best: 97.4 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2018-01-23
    88.3
    best: 99.6 (PoseC3D (RGB + Pose))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455

Robots8 results

  • Activity RecognitiononNTU RGB+D
    GFLOPs per pred· 2022-03-21
    16.73
    SOTA
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Activity RecognitiononH2O (2 Hands and Objects)
    Actions Top-1· 2018-01-23
    73.86
    best: 93.39 (HandFormer-B/21x8)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Activity RecognitiononUAV-Human
    CSv1(%)· 2018-01-23
    30.25
    best: 47.96 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Activity RecognitiononUAV-Human
    CSv2(%)· 2018-01-23
    56.14
    best: 75.36 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-03-21
    86
    best: 97.4 (DSCNet (RGB + Pose))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-03-21
    93.4
    best: 99.6 (PoseC3D (RGB + Pose))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2018-01-23
    81.5
    best: 97.4 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2018-01-23
    88.3
    best: 99.6 (PoseC3D (RGB + Pose))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455

Methodology7 results

  • Zero-Shot LearningonNTU RGB+D
    GFLOPs per pred· 2022-03-21
    16.73
    SOTA
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Zero-Shot LearningonUAV-Human
    CSv1(%)· 2018-01-23
    30.25
    best: 47.96 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Zero-Shot LearningonUAV-Human
    CSv2(%)· 2018-01-23
    56.14
    best: 75.36 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)· 2022-03-21
    86
    best: 94.3 (Hulk(Finetune, ViT-L))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)· 2022-03-21
    93.4
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)· 2018-01-23
    81.5
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)· 2018-01-23
    88.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455

Natural Language Processing7 results

  • 3D Action RecognitiononNTU RGB+D
    GFLOPs per pred· 2022-03-21
    16.73
    SOTA
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • 3D Action RecognitiononUAV-Human
    CSv1(%)· 2018-01-23
    30.25
    best: 47.96 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • 3D Action RecognitiononUAV-Human
    CSv2(%)· 2018-01-23
    56.14
    best: 75.36 (HDBN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-03-21
    86
    best: 94.3 (Hulk(Finetune, ViT-L))
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-03-21
    93.4
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Continual Spatio-Temporal Graph Convolutional NetworksarXiv:2203.11009
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2018-01-23
    81.5
    best: 94.3 (Hulk(Finetune, ViT-L))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2018-01-23
    88.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455