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Models/HD-GCN

HD-GCN

Reported on 64 benchmarks across 8 tasks · 1 paper · 28 SOTA

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

Computer Vision24 results

  • VideoonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-23
    91.6
    best: 92.2 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-23
    90.1
    best: 90.9 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • VideoonNTU RGB+D 120
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • VideoonNTU RGB+D
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-23
    91.6
    best: 92.2 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-23
    90.1
    best: 90.9 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Temporal Action LocalizationonNTU RGB+D 120
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Temporal Action LocalizationonNTU RGB+D
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-23
    91.6
    best: 92.2 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-23
    90.1
    best: 90.9 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action LocalizationonNTU RGB+D 120
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action LocalizationonNTU RGB+D
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • VideoonKinetics-Skeleton dataset
    Accuracy· 2022-08-23
    40.9
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • VideoonN-UCLA
    Accuracy· 2022-08-23
    97.2
    best: 99.1 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • VideoonNTU RGB+D
    Accuracy (CS)· 2022-08-23
    93.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • VideoonNTU RGB+D
    Accuracy (CV)· 2022-08-23
    97.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Temporal Action LocalizationonKinetics-Skeleton dataset
    Accuracy· 2022-08-23
    40.9
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Temporal Action LocalizationonN-UCLA
    Accuracy· 2022-08-23
    97.2
    best: 99.1 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2022-08-23
    93.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2022-08-23
    97.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action LocalizationonKinetics-Skeleton dataset
    Accuracy· 2022-08-23
    40.9
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action LocalizationonN-UCLA
    Accuracy· 2022-08-23
    97.2
    best: 99.1 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2022-08-23
    93.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2022-08-23
    97.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741

Time Series16 results

  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-23
    91.6
    best: 92.2 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-23
    90.1
    best: 90.9 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action DetectiononNTU RGB+D 120
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action DetectiononNTU RGB+D
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action DetectiononKinetics-Skeleton dataset
    Accuracy· 2022-08-23
    40.9
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action DetectiononN-UCLA
    Accuracy· 2022-08-23
    97.2
    best: 99.1 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action DetectiononNTU RGB+D
    Accuracy (CS)· 2022-08-23
    93.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action DetectiononNTU RGB+D
    Accuracy (CV)· 2022-08-23
    97.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-23
    91.6
    best: 96.7 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-23
    90.1
    best: 95.6 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action RecognitiononKinetics-Skeleton dataset
    Accuracy· 2022-08-23
    40.9
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action RecognitiononN-UCLA
    Accuracy· 2022-08-23
    97.2
    best: 99.1 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-08-23
    93.4
    best: 97.4 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-08-23
    97.2
    best: 99.6 (PoseC3D (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741

Methodology8 results

  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-23
    91.6
    best: 92.2 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-23
    90.1
    best: 90.9 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Zero-Shot LearningonNTU RGB+D 120
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Zero-Shot LearningonNTU RGB+D
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Zero-Shot LearningonKinetics-Skeleton dataset
    Accuracy· 2022-08-23
    40.9
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Zero-Shot LearningonN-UCLA
    Accuracy· 2022-08-23
    97.2
    best: 99.1 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)· 2022-08-23
    93.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)· 2022-08-23
    97.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741

Robots8 results

  • Activity RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Activity RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-23
    91.6
    best: 96.7 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-23
    90.1
    best: 95.6 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Activity RecognitiononKinetics-Skeleton dataset
    Accuracy· 2022-08-23
    40.9
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Activity RecognitiononN-UCLA
    Accuracy· 2022-08-23
    97.2
    best: 99.1 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-08-23
    93.4
    best: 97.4 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-08-23
    97.2
    best: 99.6 (PoseC3D (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741

Natural Language Processing8 results

  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2022-08-23
    91.6
    best: 92.2 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2022-08-23
    90.1
    best: 90.9 (ProtoGCN)
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • 3D Action RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • 3D Action RecognitiononNTU RGB+D
    Ensembled Modalities· 2022-08-23
    6
    SOTA
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • 3D Action RecognitiononKinetics-Skeleton dataset
    Accuracy· 2022-08-23
    40.9
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • 3D Action RecognitiononN-UCLA
    Accuracy· 2022-08-23
    97.2
    best: 99.1 (DSCNet (RGB + Pose))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2022-08-23
    93.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2022-08-23
    97.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionarXiv:2208.10741