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Models/Levi_Hassner CNN (single crop, caffe)

Levi_Hassner CNN (single crop, caffe)

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 Vision4 results

  • Face ReconstructiononAdience Gender
    Accuracy (5-fold)
    85.9
    best: 97.39 (MiVOLO-V2)
  • Face ReconstructiononAdience Age
    Accuracy (5-fold)
    49.5
    best: 84.91 (ViT-hSeq)
  • 3D Face ReconstructiononAdience Gender
    Accuracy (5-fold)
    85.9
    best: 97.39 (MiVOLO-V2)
  • 3D Face ReconstructiononAdience Age
    Accuracy (5-fold)
    49.5
    best: 84.91 (ViT-hSeq)

Music2 results

  • Facial Recognition and ModellingonAdience Gender
    Accuracy (5-fold)
    85.9
    best: 97.39 (MiVOLO-V2)
  • Facial Recognition and ModellingonAdience Age
    Accuracy (5-fold)
    49.5
    best: 84.91 (ViT-hSeq)

Methodology2 results

  • 3DonAdience Gender
    Accuracy (5-fold)
    85.9
    best: 97.39 (MiVOLO-V2)
  • 3DonAdience Age
    Accuracy (5-fold)
    49.5
    best: 84.91 (ViT-hSeq)

Medical2 results

  • 3D Face ModellingonAdience Gender
    Accuracy (5-fold)
    85.9
    best: 97.39 (MiVOLO-V2)
  • 3D Face ModellingonAdience Age
    Accuracy (5-fold)
    49.5
    best: 84.91 (ViT-hSeq)

Natural Language Processing2 results

  • Age And Gender ClassificationonAdience Gender
    Accuracy (5-fold)
    85.9
    best: 97.39 (MiVOLO-V2)
  • Age And Gender ClassificationonAdience Age
    Accuracy (5-fold)
    49.5
    best: 84.91 (ViT-hSeq)