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 [PYSKL, 2D Skeleton]

ST-GCN [PYSKL, 2D Skeleton]

Reported on 40 benchmarks across 8 tasks · 2 papers · 14 SOTA

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

Computer Vision15 results

  • VideoonNTU RGB+D
    Accuracy (CV)· 2022-05-19
    98.3
    SOTA
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2022-05-19
    98.3
    SOTA
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2022-05-19
    98.3
    SOTA
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2018-01-23
    89
    best: 92.2 (ProtoGCN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2018-01-23
    89
    best: 92.2 (ProtoGCN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2018-01-23
    89
    best: 92.2 (ProtoGCN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • VideoonNTU RGB+D
    Accuracy (CS)· 2022-05-19
    91.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • VideoonNTU RGB+D
    Ensembled Modalities· 2022-05-19
    4
    best: 6 (ProtoGCN)
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2022-05-19
    91.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Temporal Action LocalizationonNTU RGB+D
    Ensembled Modalities· 2022-05-19
    4
    best: 6 (ProtoGCN)
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2022-05-19
    91.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action LocalizationonNTU RGB+D
    Ensembled Modalities· 2022-05-19
    4
    best: 6 (ProtoGCN)
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2018-01-23
    84.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2018-01-23
    84.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2018-01-23
    84.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455

Time Series10 results

  • Action DetectiononNTU RGB+D
    Accuracy (CV)· 2022-05-19
    98.3
    SOTA
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2018-01-23
    89
    best: 92.2 (ProtoGCN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2018-01-23
    89
    best: 96.7 (DSCNet (RGB + Pose))
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action DetectiononNTU RGB+D
    Accuracy (CS)· 2022-05-19
    91.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action DetectiononNTU RGB+D
    Ensembled Modalities· 2022-05-19
    4
    best: 6 (ProtoGCN)
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-05-19
    91.4
    best: 97.4 (DSCNet (RGB + Pose))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-05-19
    98.3
    best: 99.6 (PoseC3D (RGB + Pose))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-05-19
    4
    best: 6 (ProtoGCN)
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2018-01-23
    84.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2018-01-23
    84.7
    best: 95.6 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455

Methodology5 results

  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)· 2022-05-19
    98.3
    SOTA
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2018-01-23
    89
    best: 92.2 (ProtoGCN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)· 2022-05-19
    91.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Zero-Shot LearningonNTU RGB+D
    Ensembled Modalities· 2022-05-19
    4
    best: 6 (ProtoGCN)
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2018-01-23
    84.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455

Natural Language Processing5 results

  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-05-19
    98.3
    SOTA
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2018-01-23
    89
    best: 92.2 (ProtoGCN)
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-05-19
    91.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • 3D Action RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-05-19
    4
    best: 6 (ProtoGCN)
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2018-01-23
    84.7
    best: 90.9 (ProtoGCN)
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455

Robots5 results

  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2018-01-23
    89
    best: 96.7 (DSCNet (RGB + Pose))
    SOTA
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-05-19
    91.4
    best: 97.4 (DSCNet (RGB + Pose))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-05-19
    98.3
    best: 99.6 (PoseC3D (RGB + Pose))
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Activity RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-05-19
    4
    best: 6 (ProtoGCN)
    PYSKL: Towards Good Practices for Skeleton Action RecognitionarXiv:2205.09443
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2018-01-23
    84.7
    best: 95.6 (DSCNet (RGB + Pose))
    Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:1801.07455