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Models/CPG (single crop, pytorch)

CPG (single crop, pytorch)

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 Vision4 results

  • Face ReconstructiononAdience Gender
    Accuracy (5-fold)· uses extra data· 2019-10-15
    89.66
    best: 97.39 (MiVOLO-V2)
    SOTA
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562
  • 3D Face ReconstructiononAdience Gender
    Accuracy (5-fold)· uses extra data· 2019-10-15
    89.66
    best: 97.39 (MiVOLO-V2)
    SOTA
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562
  • Face ReconstructiononAdience Age
    Accuracy (5-fold)· uses extra data· 2019-10-15
    57.66
    best: 84.91 (ViT-hSeq)
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562
  • 3D Face ReconstructiononAdience Age
    Accuracy (5-fold)· uses extra data· 2019-10-15
    57.66
    best: 84.91 (ViT-hSeq)
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562

Music2 results

  • Facial Recognition and ModellingonAdience Gender
    Accuracy (5-fold)· uses extra data· 2019-10-15
    89.66
    best: 97.39 (MiVOLO-V2)
    SOTA
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562
  • Facial Recognition and ModellingonAdience Age
    Accuracy (5-fold)· uses extra data· 2019-10-15
    57.66
    best: 84.91 (ViT-hSeq)
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562

Methodology2 results

  • 3DonAdience Gender
    Accuracy (5-fold)· uses extra data· 2019-10-15
    89.66
    best: 97.39 (MiVOLO-V2)
    SOTA
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562
  • 3DonAdience Age
    Accuracy (5-fold)· uses extra data· 2019-10-15
    57.66
    best: 84.91 (ViT-hSeq)
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562

Medical2 results

  • 3D Face ModellingonAdience Gender
    Accuracy (5-fold)· uses extra data· 2019-10-15
    89.66
    best: 97.39 (MiVOLO-V2)
    SOTA
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562
  • 3D Face ModellingonAdience Age
    Accuracy (5-fold)· uses extra data· 2019-10-15
    57.66
    best: 84.91 (ViT-hSeq)
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562

Natural Language Processing2 results

  • Age And Gender ClassificationonAdience Gender
    Accuracy (5-fold)· uses extra data· 2019-10-15
    89.66
    best: 97.39 (MiVOLO-V2)
    SOTA
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562
  • Age And Gender ClassificationonAdience Age
    Accuracy (5-fold)· uses extra data· 2019-10-15
    57.66
    best: 84.91 (ViT-hSeq)
    Compacting, Picking and Growing for Unforgetting Continual LearningarXiv:1910.06562