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Models/GVFE + AS-GCN with DH-TCN

GVFE + AS-GCN with DH-TCN

Reported on 16 benchmarks across 8 tasks · 1 paper

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

Computer Vision6 results

  • VideoonNTU RGB+D
    Accuracy (CS)· 2019-12-20
    85.3
    best: 94.3 (Hulk(Finetune, ViT-L))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • VideoonNTU RGB+D
    Accuracy (CV)· 2019-12-20
    92.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2019-12-20
    85.3
    best: 94.3 (Hulk(Finetune, ViT-L))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2019-12-20
    92.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2019-12-20
    85.3
    best: 94.3 (Hulk(Finetune, ViT-L))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2019-12-20
    92.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745

Time Series4 results

  • Action DetectiononNTU RGB+D
    Accuracy (CS)· 2019-12-20
    85.3
    best: 94.3 (Hulk(Finetune, ViT-L))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Action DetectiononNTU RGB+D
    Accuracy (CV)· 2019-12-20
    92.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2019-12-20
    85.3
    best: 97.4 (DSCNet (RGB + Pose))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2019-12-20
    92.8
    best: 99.6 (PoseC3D (RGB + Pose))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745

Methodology2 results

  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)· 2019-12-20
    85.3
    best: 94.3 (Hulk(Finetune, ViT-L))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)· 2019-12-20
    92.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745

Robots2 results

  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2019-12-20
    85.3
    best: 97.4 (DSCNet (RGB + Pose))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2019-12-20
    92.8
    best: 99.6 (PoseC3D (RGB + Pose))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745

Natural Language Processing2 results

  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2019-12-20
    85.3
    best: 94.3 (Hulk(Finetune, ViT-L))
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2019-12-20
    92.8
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action RecognitionarXiv:1912.09745