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Models/RAN (ResNet-18+)

RAN (ResNet-18+)

Reported on 6 benchmarks across 6 tasks · 1 paper

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

Computer Vision3 results

  • Face ReconstructiononAffectNet
    Accuracy (8 emotion)· uses extra data· 2019-05-10
    59.5
    best: 68.69 (Norface)
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (8 emotion)· uses extra data· 2019-05-10
    59.5
    best: 68.69 (Norface)
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075
  • 3D Face ReconstructiononAffectNet
    Accuracy (8 emotion)· uses extra data· 2019-05-10
    59.5
    best: 68.69 (Norface)
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Music1 result

  • Facial Recognition and ModellingonAffectNet
    Accuracy (8 emotion)· uses extra data· 2019-05-10
    59.5
    best: 68.69 (Norface)
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Methodology1 result

  • 3DonAffectNet
    Accuracy (8 emotion)· uses extra data· 2019-05-10
    59.5
    best: 68.69 (Norface)
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075

Medical1 result

  • 3D Face ModellingonAffectNet
    Accuracy (8 emotion)· uses extra data· 2019-05-10
    59.5
    best: 68.69 (Norface)
    Region Attention Networks for Pose and Occlusion Robust Facial Expression RecognitionarXiv:1905.04075