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Models/Skeleton Visualization

Skeleton Visualization

Reported on 24 benchmarks across 8 tasks

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

Computer Vision9 results

  • VideoonNTU RGB+D
    Accuracy (CS)
    80
    best: 94.3 (Hulk(Finetune, ViT-L))
  • VideoonNTU RGB+D
    Accuracy (CV)
    87.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • VideoonNTU RGB+D
    Ensembled Modalities
    4
    best: 6 (ProtoGCN)
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)
    80
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)
    87.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Temporal Action LocalizationonNTU RGB+D
    Ensembled Modalities
    4
    best: 6 (ProtoGCN)
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)
    80
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)
    87.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Action LocalizationonNTU RGB+D
    Ensembled Modalities
    4
    best: 6 (ProtoGCN)

Time Series6 results

  • Action DetectiononNTU RGB+D
    Accuracy (CS)
    80
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Action DetectiononNTU RGB+D
    Accuracy (CV)
    87.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Action DetectiononNTU RGB+D
    Ensembled Modalities
    4
    best: 6 (ProtoGCN)
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)
    80
    best: 97.4 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)
    87.2
    best: 99.6 (PoseC3D (RGB + Pose))
  • Action RecognitiononNTU RGB+D
    Ensembled Modalities
    4
    best: 6 (ProtoGCN)

Methodology3 results

  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)
    80
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)
    87.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Zero-Shot LearningonNTU RGB+D
    Ensembled Modalities
    4
    best: 6 (ProtoGCN)

Robots3 results

  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)
    80
    best: 97.4 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)
    87.2
    best: 99.6 (PoseC3D (RGB + Pose))
  • Activity RecognitiononNTU RGB+D
    Ensembled Modalities
    4
    best: 6 (ProtoGCN)

Natural Language Processing3 results

  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)
    80
    best: 94.3 (Hulk(Finetune, ViT-L))
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)
    87.2
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • 3D Action RecognitiononNTU RGB+D
    Ensembled Modalities
    4
    best: 6 (ProtoGCN)