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Models/VGGNet

VGGNet

Reported on 6 benchmarks across 6 tasks · 1 paper

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

Computer Vision3 results

  • Face ReconstructiononFER2013
    Accuracy· 2021-05-08
    73.28
    best: 82.47 (EfficientFER)
    Facial Emotion Recognition: State of the Art Performance on FER2013arXiv:2105.03588
  • Facial Expression Recognition (FER)onFER2013
    Accuracy· 2021-05-08
    73.28
    best: 82.47 (EfficientFER)
    Facial Emotion Recognition: State of the Art Performance on FER2013arXiv:2105.03588
  • 3D Face ReconstructiononFER2013
    Accuracy· 2021-05-08
    73.28
    best: 82.47 (EfficientFER)
    Facial Emotion Recognition: State of the Art Performance on FER2013arXiv:2105.03588

Music1 result

  • Facial Recognition and ModellingonFER2013
    Accuracy· 2021-05-08
    73.28
    best: 82.47 (EfficientFER)
    Facial Emotion Recognition: State of the Art Performance on FER2013arXiv:2105.03588

Methodology1 result

  • 3DonFER2013
    Accuracy· 2021-05-08
    73.28
    best: 82.47 (EfficientFER)
    Facial Emotion Recognition: State of the Art Performance on FER2013arXiv:2105.03588

Medical1 result

  • 3D Face ModellingonFER2013
    Accuracy· 2021-05-08
    73.28
    best: 82.47 (EfficientFER)
    Facial Emotion Recognition: State of the Art Performance on FER2013arXiv:2105.03588