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Models/Multi-task EfficientNet-B2

Multi-task EfficientNet-B2

Reported on 12 benchmarks across 6 tasks

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)
    66.29
    best: 72.93 (ResEmoteNet)
  • Face ReconstructiononAffectNet
    Accuracy (8 emotion)
    63.03
    best: 68.69 (Norface)
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)
    66.29
    best: 72.93 (ResEmoteNet)
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (8 emotion)
    63.03
    best: 68.69 (Norface)
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)
    66.29
    best: 72.93 (ResEmoteNet)
  • 3D Face ReconstructiononAffectNet
    Accuracy (8 emotion)
    63.03
    best: 68.69 (Norface)

Music2 results

  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)
    66.29
    best: 72.93 (ResEmoteNet)
  • Facial Recognition and ModellingonAffectNet
    Accuracy (8 emotion)
    63.03
    best: 68.69 (Norface)

Methodology2 results

  • 3DonAffectNet
    Accuracy (7 emotion)
    66.29
    best: 72.93 (ResEmoteNet)
  • 3DonAffectNet
    Accuracy (8 emotion)
    63.03
    best: 68.69 (Norface)

Medical2 results

  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)
    66.29
    best: 72.93 (ResEmoteNet)
  • 3D Face ModellingonAffectNet
    Accuracy (8 emotion)
    63.03
    best: 68.69 (Norface)