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Models/PR-GCN

PR-GCN

Reported on 24 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 Vision9 results

  • VideoonKinetics-Skeleton dataset
    Accuracy· 2020-10-14
    33.7
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • VideoonNTU RGB+D
    Accuracy (CS)· 2020-10-14
    85.2
    best: 94.3 (Hulk(Finetune, ViT-L))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • VideoonNTU RGB+D
    Accuracy (CV)· 2020-10-14
    91.7
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Temporal Action LocalizationonKinetics-Skeleton dataset
    Accuracy· 2020-10-14
    33.7
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2020-10-14
    85.2
    best: 94.3 (Hulk(Finetune, ViT-L))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2020-10-14
    91.7
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Action LocalizationonKinetics-Skeleton dataset
    Accuracy· 2020-10-14
    33.7
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)· 2020-10-14
    85.2
    best: 94.3 (Hulk(Finetune, ViT-L))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)· 2020-10-14
    91.7
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367

Time Series6 results

  • Action DetectiononKinetics-Skeleton dataset
    Accuracy· 2020-10-14
    33.7
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Action DetectiononNTU RGB+D
    Accuracy (CS)· 2020-10-14
    85.2
    best: 94.3 (Hulk(Finetune, ViT-L))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Action DetectiononNTU RGB+D
    Accuracy (CV)· 2020-10-14
    91.7
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Action RecognitiononKinetics-Skeleton dataset
    Accuracy· 2020-10-14
    33.7
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2020-10-14
    85.2
    best: 97.4 (DSCNet (RGB + Pose))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2020-10-14
    91.7
    best: 99.6 (PoseC3D (RGB + Pose))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367

Methodology3 results

  • Zero-Shot LearningonKinetics-Skeleton dataset
    Accuracy· 2020-10-14
    33.7
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)· 2020-10-14
    85.2
    best: 94.3 (Hulk(Finetune, ViT-L))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)· 2020-10-14
    91.7
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367

Robots3 results

  • Activity RecognitiononKinetics-Skeleton dataset
    Accuracy· 2020-10-14
    33.7
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2020-10-14
    85.2
    best: 97.4 (DSCNet (RGB + Pose))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2020-10-14
    91.7
    best: 99.6 (PoseC3D (RGB + Pose))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367

Natural Language Processing3 results

  • 3D Action RecognitiononKinetics-Skeleton dataset
    Accuracy· 2020-10-14
    33.7
    best: 52.3 (Structured Keypoint Pooling (PPNv2 skeletons+objects))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2020-10-14
    85.2
    best: 94.3 (Hulk(Finetune, ViT-L))
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2020-10-14
    91.7
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
    Pose Refinement Graph Convolutional Network for Skeleton-based Action RecognitionarXiv:2010.07367