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Models/Weighted-Loss

Weighted-Loss

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 ReconstructiononAffectNet
    Accuracy (8 emotion)· 2017-08-14
    58
    best: 68.69 (Norface)
    SOTA
    AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the WildarXiv:1708.03985
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (8 emotion)· 2017-08-14
    58
    best: 68.69 (Norface)
    SOTA
    AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the WildarXiv:1708.03985
  • 3D Face ReconstructiononAffectNet
    Accuracy (8 emotion)· 2017-08-14
    58
    best: 68.69 (Norface)
    SOTA
    AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the WildarXiv:1708.03985

Music1 result

  • Facial Recognition and ModellingonAffectNet
    Accuracy (8 emotion)· 2017-08-14
    58
    best: 68.69 (Norface)
    SOTA
    AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the WildarXiv:1708.03985

Methodology1 result

  • 3DonAffectNet
    Accuracy (8 emotion)· 2017-08-14
    58
    best: 68.69 (Norface)
    SOTA
    AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the WildarXiv:1708.03985

Medical1 result

  • 3D Face ModellingonAffectNet
    Accuracy (8 emotion)· 2017-08-14
    58
    best: 68.69 (Norface)
    SOTA
    AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the WildarXiv:1708.03985