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Models/ResNet 50

ResNet 50

Reported on 6 benchmarks across 6 tasks · 2 papers · 1 SOTA

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

Methodology2 results

  • ClassificationonXImageNet-12
    Robustness Score· 2015-12-10
    0.8985
    best: 0.9062 (DenseNet121)
    SOTA
    Deep Residual Learning for Image RecognitionarXiv:1512.03385
  • 3DonBP4D
    Average F1· 2022-05-02
    59.1
    best: 67.1 (FMAE-IAT)
    Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit RecognitionarXiv:2205.01782

Computer Vision2 results

  • Face ReconstructiononBP4D
    Average F1· 2022-05-02
    59.1
    best: 67.1 (FMAE-IAT)
    Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit RecognitionarXiv:2205.01782
  • 3D Face ReconstructiononBP4D
    Average F1· 2022-05-02
    59.1
    best: 67.1 (FMAE-IAT)
    Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit RecognitionarXiv:2205.01782

Music1 result

  • Facial Recognition and ModellingonBP4D
    Average F1· 2022-05-02
    59.1
    best: 67.1 (FMAE-IAT)
    Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit RecognitionarXiv:2205.01782

Medical1 result

  • 3D Face ModellingonBP4D
    Average F1· 2022-05-02
    59.1
    best: 67.1 (FMAE-IAT)
    Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit RecognitionarXiv:2205.01782