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Models/CTR-GCN

CTR-GCN

Reported on 56 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 Vision21 results

  • VideoonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2021-07-26
    90.6
    best: 92.2 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2021-07-26
    88.9
    best: 90.9 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • VideoonN-UCLA
    Accuracy· 2021-07-26
    96.5
    best: 99.1 (DSCNet (RGB + Pose))
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • VideoonNTU RGB+D
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2021-07-26
    90.6
    best: 92.2 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2021-07-26
    88.9
    best: 90.9 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Temporal Action LocalizationonN-UCLA
    Accuracy· 2021-07-26
    96.5
    best: 99.1 (DSCNet (RGB + Pose))
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Temporal Action LocalizationonNTU RGB+D
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2021-07-26
    90.6
    best: 92.2 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2021-07-26
    88.9
    best: 90.9 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action LocalizationonN-UCLA
    Accuracy· 2021-07-26
    96.5
    best: 99.1 (DSCNet (RGB + Pose))
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action LocalizationonNTU RGB+D
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • VideoonNTU RGB+D 120
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • VideoonNTU RGB+D
    Accuracy (CS)· 2021-07-26
    92.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • VideoonNTU RGB+D
    Accuracy (CV)· 2021-07-26
    96.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Temporal Action LocalizationonNTU RGB+D 120
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2021-07-26
    92.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2021-07-26
    96.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action LocalizationonNTU RGB+D 120
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2021-07-26
    92.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2021-07-26
    96.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213

Time Series14 results

  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2021-07-26
    90.6
    best: 92.2 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2021-07-26
    88.9
    best: 90.9 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action DetectiononN-UCLA
    Accuracy· 2021-07-26
    96.5
    best: 99.1 (DSCNet (RGB + Pose))
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action DetectiononNTU RGB+D
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action RecognitiononN-UCLA
    Accuracy· 2021-07-26
    96.5
    best: 99.1 (DSCNet (RGB + Pose))
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action RecognitiononNTU RGB+D
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action DetectiononNTU RGB+D 120
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action DetectiononNTU RGB+D
    Accuracy (CS)· 2021-07-26
    92.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action DetectiononNTU RGB+D
    Accuracy (CV)· 2021-07-26
    96.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2021-07-26
    90.6
    best: 96.7 (DSCNet (RGB + Pose))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2021-07-26
    88.9
    best: 95.6 (DSCNet (RGB + Pose))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2021-07-26
    92.4
    best: 97.4 (DSCNet (RGB + Pose))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2021-07-26
    96.8
    best: 99.6 (PoseC3D (RGB + Pose))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213

Methodology7 results

  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Setup)· 2021-07-26
    90.6
    best: 92.2 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Subject)· 2021-07-26
    88.9
    best: 90.9 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Zero-Shot LearningonN-UCLA
    Accuracy· 2021-07-26
    96.5
    best: 99.1 (DSCNet (RGB + Pose))
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Zero-Shot LearningonNTU RGB+D
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Zero-Shot LearningonNTU RGB+D 120
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)· 2021-07-26
    92.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)· 2021-07-26
    96.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213

Robots7 results

  • Activity RecognitiononN-UCLA
    Accuracy· 2021-07-26
    96.5
    best: 99.1 (DSCNet (RGB + Pose))
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Activity RecognitiononNTU RGB+D
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2021-07-26
    90.6
    best: 96.7 (DSCNet (RGB + Pose))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2021-07-26
    88.9
    best: 95.6 (DSCNet (RGB + Pose))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Activity RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2021-07-26
    92.4
    best: 97.4 (DSCNet (RGB + Pose))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2021-07-26
    96.8
    best: 99.6 (PoseC3D (RGB + Pose))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213

Natural Language Processing7 results

  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2021-07-26
    90.6
    best: 92.2 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2021-07-26
    88.9
    best: 90.9 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • 3D Action RecognitiononN-UCLA
    Accuracy· 2021-07-26
    96.5
    best: 99.1 (DSCNet (RGB + Pose))
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • 3D Action RecognitiononNTU RGB+D
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    SOTA
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • 3D Action RecognitiononNTU RGB+D 120
    Ensembled Modalities· 2021-07-26
    4
    best: 6 (ProtoGCN)
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2021-07-26
    92.4
    best: 94.3 (Hulk(Finetune, ViT-L))
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2021-07-26
    96.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action RecognitionarXiv:2107.12213