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Models/Facial Motion Prior Network

Facial Motion Prior Network

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 (7 emotion)· 2019-02-23
    61.52
    best: 72.93 (ResEmoteNet)
    Facial Motion Prior Networks for Facial Expression RecognitionarXiv:1902.08788
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)· 2019-02-23
    61.52
    best: 72.93 (ResEmoteNet)
    Facial Motion Prior Networks for Facial Expression RecognitionarXiv:1902.08788
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2019-02-23
    61.52
    best: 72.93 (ResEmoteNet)
    Facial Motion Prior Networks for Facial Expression RecognitionarXiv:1902.08788

Music1 result

  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)· 2019-02-23
    61.52
    best: 72.93 (ResEmoteNet)
    Facial Motion Prior Networks for Facial Expression RecognitionarXiv:1902.08788

Methodology1 result

  • 3DonAffectNet
    Accuracy (7 emotion)· 2019-02-23
    61.52
    best: 72.93 (ResEmoteNet)
    Facial Motion Prior Networks for Facial Expression RecognitionarXiv:1902.08788

Medical1 result

  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)· 2019-02-23
    61.52
    best: 72.93 (ResEmoteNet)
    Facial Motion Prior Networks for Facial Expression RecognitionarXiv:1902.08788