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Models/Ada-DF

Ada-DF

Reported on 18 benchmarks across 6 tasks

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

Computer Vision9 results

  • Face ReconstructiononRAF-DB
    Overall Accuracy
    90.04
    best: 94.76 (ResEmoteNet)
  • Face ReconstructiononSFEW
    Accuracy
    60.46
  • Face ReconstructiononAffectNet
    Accuracy (7 emotion)
    65.34
    best: 72.93 (ResEmoteNet)
  • Facial Expression Recognition (FER)onRAF-DB
    Overall Accuracy
    90.04
    best: 94.76 (ResEmoteNet)
  • Facial Expression Recognition (FER)onSFEW
    Accuracy
    60.46
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)
    65.34
    best: 72.93 (ResEmoteNet)
  • 3D Face ReconstructiononRAF-DB
    Overall Accuracy
    90.04
    best: 94.76 (ResEmoteNet)
  • 3D Face ReconstructiononSFEW
    Accuracy
    60.46
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)
    65.34
    best: 72.93 (ResEmoteNet)

Music3 results

  • Facial Recognition and ModellingonRAF-DB
    Overall Accuracy
    90.04
    best: 94.76 (ResEmoteNet)
  • Facial Recognition and ModellingonSFEW
    Accuracy
    60.46
  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)
    65.34
    best: 72.93 (ResEmoteNet)

Methodology3 results

  • 3DonRAF-DB
    Overall Accuracy
    90.04
    best: 94.76 (ResEmoteNet)
  • 3DonSFEW
    Accuracy
    60.46
  • 3DonAffectNet
    Accuracy (7 emotion)
    65.34
    best: 72.93 (ResEmoteNet)

Medical3 results

  • 3D Face ModellingonRAF-DB
    Overall Accuracy
    90.04
    best: 94.76 (ResEmoteNet)
  • 3D Face ModellingonSFEW
    Accuracy
    60.46
  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)
    65.34
    best: 72.93 (ResEmoteNet)