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Models/KTN

KTN

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 Vision6 results

  • Face ReconstructiononFER+
    Accuracy
    90.49
    best: 95.55 (PAtt-Lite)
  • Face ReconstructiononFERPlus
    Accuracy(pretrained)
    90.49
  • Facial Expression Recognition (FER)onFER+
    Accuracy
    90.49
    best: 95.55 (PAtt-Lite)
  • Facial Expression Recognition (FER)onFERPlus
    Accuracy(pretrained)
    90.49
  • 3D Face ReconstructiononFER+
    Accuracy
    90.49
    best: 95.55 (PAtt-Lite)
  • 3D Face ReconstructiononFERPlus
    Accuracy(pretrained)
    90.49

Music2 results

  • Facial Recognition and ModellingonFER+
    Accuracy
    90.49
    best: 95.55 (PAtt-Lite)
  • Facial Recognition and ModellingonFERPlus
    Accuracy(pretrained)
    90.49

Methodology2 results

  • 3DonFER+
    Accuracy
    90.49
    best: 95.55 (PAtt-Lite)
  • 3DonFERPlus
    Accuracy(pretrained)
    90.49

Medical2 results

  • 3D Face ModellingonFER+
    Accuracy
    90.49
    best: 95.55 (PAtt-Lite)
  • 3D Face ModellingonFERPlus
    Accuracy(pretrained)
    90.49