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Models/MaskCLR

MaskCLR

Reported on 32 benchmarks across 8 tasks

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

Computer Vision12 results

  • VideoonNTU RGB+D 120
    Accuracy (Cross-Setup)
    89.5
    best: 92.2 (ProtoGCN)
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Subject)
    87.4
    best: 90.9 (ProtoGCN)
  • VideoonNTU RGB+D
    Accuracy (CS)
    93.9
    best: 94.3 (Hulk(Finetune, ViT-L))
  • VideoonNTU RGB+D
    Accuracy (CV)
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)
    89.5
    best: 92.2 (ProtoGCN)
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)
    87.4
    best: 90.9 (ProtoGCN)
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CS)
    93.9
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Temporal Action LocalizationonNTU RGB+D
    Accuracy (CV)
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)
    89.5
    best: 92.2 (ProtoGCN)
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)
    87.4
    best: 90.9 (ProtoGCN)
  • Action LocalizationonNTU RGB+D
    Accuracy (CS)
    93.9
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Action LocalizationonNTU RGB+D
    Accuracy (CV)
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])

Time Series8 results

  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    89.5
    best: 92.2 (ProtoGCN)
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    87.4
    best: 90.9 (ProtoGCN)
  • Action DetectiononNTU RGB+D
    Accuracy (CS)
    93.9
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Action DetectiononNTU RGB+D
    Accuracy (CV)
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    89.5
    best: 96.7 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    87.4
    best: 95.6 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D
    Accuracy (CS)
    93.9
    best: 97.4 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)
    97.3
    best: 99.6 (PoseC3D (RGB + Pose))

Methodology4 results

  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Setup)
    89.5
    best: 92.2 (ProtoGCN)
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Subject)
    87.4
    best: 90.9 (ProtoGCN)
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CS)
    93.9
    best: 94.3 (Hulk(Finetune, ViT-L))
  • Zero-Shot LearningonNTU RGB+D
    Accuracy (CV)
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])

Robots4 results

  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    89.5
    best: 96.7 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    87.4
    best: 95.6 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)
    93.9
    best: 97.4 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)
    97.3
    best: 99.6 (PoseC3D (RGB + Pose))

Natural Language Processing4 results

  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    89.5
    best: 92.2 (ProtoGCN)
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    87.4
    best: 90.9 (ProtoGCN)
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CS)
    93.9
    best: 94.3 (Hulk(Finetune, ViT-L))
  • 3D Action RecognitiononNTU RGB+D
    Accuracy (CV)
    97.3
    best: 98.3 (ST-GCN [PYSKL, 2D Skeleton])