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Models/SV-AM-Softmax

SV-AM-Softmax

Reported on 6 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 Vision5 results

  • Face VerificationonTrillion Pairs Dataset
    Accuracy· 2018-12-29
    72.71
    SOTA
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317
  • Face ReconstructiononTrillion Pairs Dataset
    Accuracy· 2018-12-29
    73.56
    SOTA
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317
  • 3D Face ReconstructiononTrillion Pairs Dataset
    Accuracy· 2018-12-29
    73.56
    SOTA
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317
  • Face ReconstructiononTrillion Pairs Dataset
    Accuracy· 2018-12-29
    72.71
    best: 73.56
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317
  • 3D Face ReconstructiononTrillion Pairs Dataset
    Accuracy· 2018-12-29
    72.71
    best: 73.56
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317

Music2 results

  • Facial Recognition and ModellingonTrillion Pairs Dataset
    Accuracy· 2018-12-29
    73.56
    SOTA
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317
  • Facial Recognition and ModellingonTrillion Pairs Dataset
    Accuracy· 2018-12-29
    72.71
    best: 73.56
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317

Methodology2 results

  • 3DonTrillion Pairs Dataset
    Accuracy· 2018-12-29
    73.56
    SOTA
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317
  • 3DonTrillion Pairs Dataset
    Accuracy· 2018-12-29
    72.71
    best: 73.56
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317

Medical2 results

  • 3D Face ModellingonTrillion Pairs Dataset
    Accuracy· 2018-12-29
    73.56
    SOTA
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317
  • 3D Face ModellingonTrillion Pairs Dataset
    Accuracy· 2018-12-29
    72.71
    best: 73.56
    Support Vector Guided Softmax Loss for Face RecognitionarXiv:1812.11317