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Models/RAN (VGG16+ResNet18)

RAN (VGG16+ResNet18)

Reported on 6 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Computer Vision3 results

  • Face ReconstructiononSFEW
    Accuracy· 2019-05-10
    56.4
    best: 60.46 (Ada-DF)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075
  • Facial Expression Recognition (FER)onSFEW
    Accuracy· 2019-05-10
    56.4
    best: 60.46 (Ada-DF)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075
  • 3D Face ReconstructiononSFEW
    Accuracy· 2019-05-10
    56.4
    best: 60.46 (Ada-DF)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Music1 result

  • Facial Recognition and ModellingonSFEW
    Accuracy· 2019-05-10
    56.4
    best: 60.46 (Ada-DF)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Methodology1 result

  • 3DonSFEW
    Accuracy· 2019-05-10
    56.4
    best: 60.46 (Ada-DF)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Medical1 result

  • 3D Face ModellingonSFEW
    Accuracy· 2019-05-10
    56.4
    best: 60.46 (Ada-DF)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075