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Models/EAC

EAC

Reported on 12 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 Vision6 results

  • Face ReconstructiononFER+
    Accuracy· 2022-07-21
    89.64
    best: 95.55 (PAtt-Lite)
    SOTA
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299
  • Facial Expression Recognition (FER)onFER+
    Accuracy· 2022-07-21
    89.64
    best: 95.55 (PAtt-Lite)
    SOTA
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299
  • 3D Face ReconstructiononFER+
    Accuracy· 2022-07-21
    89.64
    best: 95.55 (PAtt-Lite)
    SOTA
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299
  • Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2022-07-21
    65.32
    best: 72.93 (ResEmoteNet)
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299
  • Facial Expression Recognition (FER)onAffectNet
    Accuracy (7 emotion)· 2022-07-21
    65.32
    best: 72.93 (ResEmoteNet)
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299
  • 3D Face ReconstructiononAffectNet
    Accuracy (7 emotion)· 2022-07-21
    65.32
    best: 72.93 (ResEmoteNet)
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299

Music2 results

  • Facial Recognition and ModellingonFER+
    Accuracy· 2022-07-21
    89.64
    best: 95.55 (PAtt-Lite)
    SOTA
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299
  • Facial Recognition and ModellingonAffectNet
    Accuracy (7 emotion)· 2022-07-21
    65.32
    best: 72.93 (ResEmoteNet)
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299

Methodology2 results

  • 3DonFER+
    Accuracy· 2022-07-21
    89.64
    best: 95.55 (PAtt-Lite)
    SOTA
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299
  • 3DonAffectNet
    Accuracy (7 emotion)· 2022-07-21
    65.32
    best: 72.93 (ResEmoteNet)
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299

Medical2 results

  • 3D Face ModellingonFER+
    Accuracy· 2022-07-21
    89.64
    best: 95.55 (PAtt-Lite)
    SOTA
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299
  • 3D Face ModellingonAffectNet
    Accuracy (7 emotion)· 2022-07-21
    65.32
    best: 72.93 (ResEmoteNet)
    Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression RecognitionarXiv:2207.10299