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Models/RAN (VGG-16)

RAN (VGG-16)

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 ReconstructiononFERPlus
    Accuracy(pretrained)· 2019-05-10
    89.16
    best: 90.49 (KTN)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075
  • Facial Expression Recognition (FER)onFERPlus
    Accuracy(pretrained)· 2019-05-10
    89.16
    best: 90.49 (KTN)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075
  • 3D Face ReconstructiononFERPlus
    Accuracy(pretrained)· 2019-05-10
    89.16
    best: 90.49 (KTN)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Music1 result

  • Facial Recognition and ModellingonFERPlus
    Accuracy(pretrained)· 2019-05-10
    89.16
    best: 90.49 (KTN)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Methodology1 result

  • 3DonFERPlus
    Accuracy(pretrained)· 2019-05-10
    89.16
    best: 90.49 (KTN)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Medical1 result

  • 3D Face ModellingonFERPlus
    Accuracy(pretrained)· 2019-05-10
    89.16
    best: 90.49 (KTN)
    SOTA
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075