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Models/IPP-Net (Parsing + Pose)

IPP-Net (Parsing + Pose)

Reported on 8 benchmarks across 2 tasks · 1 paper

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

Robots4 results

  • Activity RecognitiononNTU RGB+D
    Accuracy (CS)· 2023-07-16
    93.8
    best: 97.4 (DSCNet (RGB + Pose))
    Integrating Human Parsing and Pose Network for Human Action RecognitionarXiv:2307.07977
  • Activity RecognitiononNTU RGB+D
    Accuracy (CV)· 2023-07-16
    97.1
    best: 99.6 (PoseC3D (RGB + Pose))
    Integrating Human Parsing and Pose Network for Human Action RecognitionarXiv:2307.07977
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2023-07-16
    91.7
    best: 96.7 (DSCNet (RGB + Pose))
    Integrating Human Parsing and Pose Network for Human Action RecognitionarXiv:2307.07977
  • Activity RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2023-07-16
    90
    best: 95.6 (DSCNet (RGB + Pose))
    Integrating Human Parsing and Pose Network for Human Action RecognitionarXiv:2307.07977

Time Series4 results

  • Action RecognitiononNTU RGB+D
    Accuracy (CS)· 2023-07-16
    93.8
    best: 97.4 (DSCNet (RGB + Pose))
    Integrating Human Parsing and Pose Network for Human Action RecognitionarXiv:2307.07977
  • Action RecognitiononNTU RGB+D
    Accuracy (CV)· 2023-07-16
    97.1
    best: 99.6 (PoseC3D (RGB + Pose))
    Integrating Human Parsing and Pose Network for Human Action RecognitionarXiv:2307.07977
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Setup)· 2023-07-16
    91.7
    best: 96.7 (DSCNet (RGB + Pose))
    Integrating Human Parsing and Pose Network for Human Action RecognitionarXiv:2307.07977
  • Action RecognitiononNTU RGB+D 120
    Accuracy (Cross-Subject)· 2023-07-16
    90
    best: 95.6 (DSCNet (RGB + Pose))
    Integrating Human Parsing and Pose Network for Human Action RecognitionarXiv:2307.07977