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Models/PAENet

PAENet

Reported on 12 benchmarks across 7 tasks

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

Computer Vision5 results

  • Face ReconstructiononAffectNet
    Accuracy (7 emotion)· uses extra data
    65.29
    best: 72.93 (ResEmoteNet)
  • Face ReconstructiononFotW Gender
    Accuracy (%)· uses extra data
    92.93
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)· uses extra data
    65.29
    best: 72.93 (ResEmoteNet)
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)· uses extra data
    65.29
    best: 72.93 (ResEmoteNet)
  • 3D Face ReconstructiononFotW Gender
    Accuracy (%)· uses extra data
    92.93

Methodology3 results

  • 3DonAffectNet
    Accuracy (7 emotion)· uses extra data
    65.29
    best: 72.93 (ResEmoteNet)
  • 3DonFotW Gender
    Accuracy (%)· uses extra data
    92.93
  • Continual LearningonCifar100 (20 tasks)
    Average Accuracy
    77.1
    best: 94.99 (Model Zoo-Continual)

Music2 results

  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)· uses extra data
    65.29
    best: 72.93 (ResEmoteNet)
  • Facial Recognition and ModellingonFotW Gender
    Accuracy (%)· uses extra data
    92.93

Medical2 results

  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)· uses extra data
    65.29
    best: 72.93 (ResEmoteNet)
  • 3D Face ModellingonFotW Gender
    Accuracy (%)· uses extra data
    92.93