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Models/ViT-hSeq

ViT-hSeq

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 Age
    Accuracy (5-fold)· 2024-03-19
    84.91
    SOTA
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483
  • 3D Face ReconstructiononAdience Age
    Accuracy (5-fold)· 2024-03-19
    84.91
    SOTA
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483
  • Face ReconstructiononAdience Gender
    Accuracy (5-fold)· 2024-03-19
    96.56
    best: 97.39 (MiVOLO-V2)
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483
  • 3D Face ReconstructiononAdience Gender
    Accuracy (5-fold)· 2024-03-19
    96.56
    best: 97.39 (MiVOLO-V2)
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483

Music2 results

  • Facial Recognition and ModellingonAdience Age
    Accuracy (5-fold)· 2024-03-19
    84.91
    SOTA
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483
  • Facial Recognition and ModellingonAdience Gender
    Accuracy (5-fold)· 2024-03-19
    96.56
    best: 97.39 (MiVOLO-V2)
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483

Methodology2 results

  • 3DonAdience Age
    Accuracy (5-fold)· 2024-03-19
    84.91
    SOTA
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483
  • 3DonAdience Gender
    Accuracy (5-fold)· 2024-03-19
    96.56
    best: 97.39 (MiVOLO-V2)
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483

Medical2 results

  • 3D Face ModellingonAdience Age
    Accuracy (5-fold)· 2024-03-19
    84.91
    SOTA
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483
  • 3D Face ModellingonAdience Gender
    Accuracy (5-fold)· 2024-03-19
    96.56
    best: 97.39 (MiVOLO-V2)
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483

Natural Language Processing2 results

  • Age And Gender ClassificationonAdience Age
    Accuracy (5-fold)· 2024-03-19
    84.91
    SOTA
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483
  • Age And Gender ClassificationonAdience Gender
    Accuracy (5-fold)· 2024-03-19
    96.56
    best: 97.39 (MiVOLO-V2)
    A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial imagesarXiv:2403.12483