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Models/CNNs and BOVW + local SVM

CNNs and BOVW + local SVM

Reported on 12 benchmarks across 6 tasks · 1 paper · 12 SOTA

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

Computer Vision6 results

  • Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2018-04-29
    63.31
    best: 72.93 (ResEmoteNet)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892
  • Face ReconstructiononAffectNet
    Accuracy (8 emotion)· 2018-04-29
    59.58
    best: 68.69 (Norface)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)· 2018-04-29
    63.31
    best: 72.93 (ResEmoteNet)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (8 emotion)· 2018-04-29
    59.58
    best: 68.69 (Norface)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2018-04-29
    63.31
    best: 72.93 (ResEmoteNet)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892
  • 3D Face ReconstructiononAffectNet
    Accuracy (8 emotion)· 2018-04-29
    59.58
    best: 68.69 (Norface)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892

Music2 results

  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)· 2018-04-29
    63.31
    best: 72.93 (ResEmoteNet)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892
  • Facial Recognition and ModellingonAffectNet
    Accuracy (8 emotion)· 2018-04-29
    59.58
    best: 68.69 (Norface)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892

Methodology2 results

  • 3DonAffectNet
    Accuracy (7 emotion)· 2018-04-29
    63.31
    best: 72.93 (ResEmoteNet)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892
  • 3DonAffectNet
    Accuracy (8 emotion)· 2018-04-29
    59.58
    best: 68.69 (Norface)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892

Medical2 results

  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)· 2018-04-29
    63.31
    best: 72.93 (ResEmoteNet)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892
  • 3D Face ModellingonAffectNet
    Accuracy (8 emotion)· 2018-04-29
    59.58
    best: 68.69 (Norface)
    SOTA
    Local Learning with Deep and Handcrafted Features for Facial Expression RecognitionarXiv:1804.10892