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Models/Wing

Wing

Reported on 45 benchmarks across 5 tasks · 1 paper · 30 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision18 results

  • Face Reconstructionon300W
    NME_inter-pupil (%, Challenge)· 2017-11-17
    7.18
    best: 10.59 (3DDFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Face ReconstructiononAFLW-19
    AUC_box@0.07 (%, Full)· 2017-11-17
    53.5
    best: 81.8 (FiFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Face ReconstructiononAFLW-19
    NME_box (%, Full)· 2017-11-17
    3.56
    best: 4.04 (SAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Face ReconstructiononWFLW
    AUC@10 (inter-ocular)· 2017-11-17
    55.4
    best: 63.81 (SH-FAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Face ReconstructiononWFLW
    FR@10 (inter-ocular)· 2017-11-17
    6
    best: 35.24 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Face ReconstructiononWFLW
    NME (inter-ocular)· 2017-11-17
    5.11
    best: 11.13 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ReconstructiononAFLW-19
    AUC_box@0.07 (%, Full)· 2017-11-17
    53.5
    best: 81.8 (FiFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ReconstructiononAFLW-19
    NME_box (%, Full)· 2017-11-17
    3.56
    best: 4.04 (SAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Challenge)· 2017-11-17
    7.18
    best: 10.59 (3DDFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ReconstructiononWFLW
    AUC@10 (inter-ocular)· 2017-11-17
    55.4
    best: 63.81 (SH-FAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ReconstructiononWFLW
    FR@10 (inter-ocular)· 2017-11-17
    6
    best: 35.24 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ReconstructiononWFLW
    NME (inter-ocular)· 2017-11-17
    5.11
    best: 11.13 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Face Reconstructionon300W
    NME_inter-pupil (%, Common)· 2017-11-17
    3.27
    best: 6.15 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Face Reconstructionon300W
    NME_inter-pupil (%, Full)· 2017-11-17
    4.04
    best: 7.01 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Face ReconstructiononAFLW-19
    NME_diag (%, Full)· 2017-11-17
    1.65
    best: 3.92 (CFSS)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ReconstructiononAFLW-19
    NME_diag (%, Full)· 2017-11-17
    1.65
    best: 3.92 (CFSS)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Common)· 2017-11-17
    3.27
    best: 6.15 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Full)· 2017-11-17
    4.04
    best: 7.01 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753

Music9 results

  • Facial Recognition and ModellingonAFLW-19
    AUC_box@0.07 (%, Full)· 2017-11-17
    53.5
    best: 81.8 (FiFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Facial Recognition and ModellingonAFLW-19
    NME_box (%, Full)· 2017-11-17
    3.56
    best: 4.04 (SAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Challenge)· 2017-11-17
    7.18
    best: 10.59 (3DDFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Facial Recognition and ModellingonWFLW
    AUC@10 (inter-ocular)· 2017-11-17
    55.4
    best: 63.81 (SH-FAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Facial Recognition and ModellingonWFLW
    FR@10 (inter-ocular)· 2017-11-17
    6
    best: 35.24 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Facial Recognition and ModellingonWFLW
    NME (inter-ocular)· 2017-11-17
    5.11
    best: 11.13 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Facial Recognition and ModellingonAFLW-19
    NME_diag (%, Full)· 2017-11-17
    1.65
    best: 3.92 (CFSS)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Common)· 2017-11-17
    3.27
    best: 6.15 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Full)· 2017-11-17
    4.04
    best: 7.01 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753

Methodology9 results

  • 3Don300W
    NME_inter-pupil (%, Challenge)· 2017-11-17
    7.18
    best: 10.59 (3DDFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3DonAFLW-19
    AUC_box@0.07 (%, Full)· 2017-11-17
    53.5
    best: 81.8 (FiFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3DonAFLW-19
    NME_box (%, Full)· 2017-11-17
    3.56
    best: 4.04 (SAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3DonWFLW
    AUC@10 (inter-ocular)· 2017-11-17
    55.4
    best: 63.81 (SH-FAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3DonWFLW
    FR@10 (inter-ocular)· 2017-11-17
    6
    best: 35.24 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3DonWFLW
    NME (inter-ocular)· 2017-11-17
    5.11
    best: 11.13 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3Don300W
    NME_inter-pupil (%, Common)· 2017-11-17
    3.27
    best: 6.15 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3Don300W
    NME_inter-pupil (%, Full)· 2017-11-17
    4.04
    best: 7.01 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3DonAFLW-19
    NME_diag (%, Full)· 2017-11-17
    1.65
    best: 3.92 (CFSS)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753

Medical9 results

  • 3D Face ModellingonAFLW-19
    AUC_box@0.07 (%, Full)· 2017-11-17
    53.5
    best: 81.8 (FiFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ModellingonAFLW-19
    NME_box (%, Full)· 2017-11-17
    3.56
    best: 4.04 (SAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Challenge)· 2017-11-17
    7.18
    best: 10.59 (3DDFA)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ModellingonWFLW
    AUC@10 (inter-ocular)· 2017-11-17
    55.4
    best: 63.81 (SH-FAN)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ModellingonWFLW
    FR@10 (inter-ocular)· 2017-11-17
    6
    best: 35.24 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ModellingonWFLW
    NME (inter-ocular)· 2017-11-17
    5.11
    best: 11.13 (ESR)
    SOTA
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face ModellingonAFLW-19
    NME_diag (%, Full)· 2017-11-17
    1.65
    best: 3.92 (CFSS)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Common)· 2017-11-17
    3.27
    best: 6.15 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Full)· 2017-11-17
    4.04
    best: 7.01 (3DDFA)
    Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural NetworksarXiv:1711.06753