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Models/VA-CNN (ResNeXt-101)

VA-CNN (ResNeXt-101)

Reported on 16 benchmarks across 8 tasks

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 120
    Accuracy (Cross-Setup)
    86.9
    best: 92.2 (ProtoGCN)
  • VideoonNTU RGB+D 120
    Accuracy (Cross-Subject)
    84.88
    best: 90.9 (ProtoGCN)
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)
    86.9
    best: 92.2 (ProtoGCN)
  • Temporal Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)
    84.88
    best: 90.9 (ProtoGCN)
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Setup)
    86.9
    best: 92.2 (ProtoGCN)
  • Action LocalizationonNTU RGB+D 120
    Accuracy (Cross-Subject)
    84.88
    best: 90.9 (ProtoGCN)

Time Series4 results

  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    86.9
    best: 92.2 (ProtoGCN)
  • Action DetectiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    84.88
    best: 90.9 (ProtoGCN)
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    86.9
    best: 96.7 (DSCNet (RGB + Pose))
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    84.88
    best: 95.6 (DSCNet (RGB + Pose))

Methodology2 results

  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Setup)
    86.9
    best: 92.2 (ProtoGCN)
  • Zero-Shot LearningonNTU RGB+D 120
    Accuracy (Cross-Subject)
    84.88
    best: 90.9 (ProtoGCN)

Robots2 results

  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    86.9
    best: 96.7 (DSCNet (RGB + Pose))
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    84.88
    best: 95.6 (DSCNet (RGB + Pose))

Natural Language Processing2 results

  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)
    86.9
    best: 92.2 (ProtoGCN)
  • 3D Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)
    84.88
    best: 90.9 (ProtoGCN)