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Models/SHR-FAN

SHR-FAN

Reported on 35 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Computer Vision14 results

  • Face ReconstructiononAFLW-19
    AUC_box@0.07 (%, Full)· uses extra data· 2021-11-03
    70
    best: 81.8 (FiFA)
    SOTA
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face ReconstructiononAFLW-19
    AUC_box@0.07 (%, Full)· uses extra data· 2021-11-03
    70
    best: 81.8 (FiFA)
    SOTA
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)· uses extra data· 2021-11-03
    4.13
    best: 8.2 (ASMNet)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Face Reconstructionon300W
    NME_inter-ocular (%, Common)· uses extra data· 2021-11-03
    2.61
    best: 5.09 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Face Reconstructionon300W
    NME_inter-ocular (%, Full)· uses extra data· 2021-11-03
    2.94
    best: 5.63 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Face ReconstructiononAFLW-19
    NME_box (%, Full)· uses extra data· 2021-11-03
    2.14
    best: 4.04 (SAN)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Face ReconstructiononAFLW-19
    NME_diag (%, Frontal)· uses extra data· 2021-11-03
    1.12
    best: 2.68 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Face ReconstructiononAFLW-19
    NME_diag (%, Full)· uses extra data· 2021-11-03
    1.31
    best: 3.92 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face ReconstructiononAFLW-19
    NME_box (%, Full)· uses extra data· 2021-11-03
    2.14
    best: 4.04 (SAN)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face ReconstructiononAFLW-19
    NME_diag (%, Frontal)· uses extra data· 2021-11-03
    1.12
    best: 2.68 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face ReconstructiononAFLW-19
    NME_diag (%, Full)· uses extra data· 2021-11-03
    1.31
    best: 3.92 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)· uses extra data· 2021-11-03
    4.13
    best: 8.2 (ASMNet)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Common)· uses extra data· 2021-11-03
    2.61
    best: 5.09 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Full)· uses extra data· 2021-11-03
    2.94
    best: 5.63 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360

Music7 results

  • Facial Recognition and ModellingonAFLW-19
    AUC_box@0.07 (%, Full)· uses extra data· 2021-11-03
    70
    best: 81.8 (FiFA)
    SOTA
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Facial Recognition and ModellingonAFLW-19
    NME_box (%, Full)· uses extra data· 2021-11-03
    2.14
    best: 4.04 (SAN)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Facial Recognition and ModellingonAFLW-19
    NME_diag (%, Frontal)· uses extra data· 2021-11-03
    1.12
    best: 2.68 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Facial Recognition and ModellingonAFLW-19
    NME_diag (%, Full)· uses extra data· 2021-11-03
    1.31
    best: 3.92 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Challenge)· uses extra data· 2021-11-03
    4.13
    best: 8.2 (ASMNet)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Common)· uses extra data· 2021-11-03
    2.61
    best: 5.09 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Full)· uses extra data· 2021-11-03
    2.94
    best: 5.63 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360

Methodology7 results

  • 3DonAFLW-19
    AUC_box@0.07 (%, Full)· uses extra data· 2021-11-03
    70
    best: 81.8 (FiFA)
    SOTA
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3Don300W
    NME_inter-ocular (%, Challenge)· uses extra data· 2021-11-03
    4.13
    best: 8.2 (ASMNet)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3Don300W
    NME_inter-ocular (%, Common)· uses extra data· 2021-11-03
    2.61
    best: 5.09 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3Don300W
    NME_inter-ocular (%, Full)· uses extra data· 2021-11-03
    2.94
    best: 5.63 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3DonAFLW-19
    NME_box (%, Full)· uses extra data· 2021-11-03
    2.14
    best: 4.04 (SAN)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3DonAFLW-19
    NME_diag (%, Frontal)· uses extra data· 2021-11-03
    1.12
    best: 2.68 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3DonAFLW-19
    NME_diag (%, Full)· uses extra data· 2021-11-03
    1.31
    best: 3.92 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360

Medical7 results

  • 3D Face ModellingonAFLW-19
    AUC_box@0.07 (%, Full)· uses extra data· 2021-11-03
    70
    best: 81.8 (FiFA)
    SOTA
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face ModellingonAFLW-19
    NME_box (%, Full)· uses extra data· 2021-11-03
    2.14
    best: 4.04 (SAN)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face ModellingonAFLW-19
    NME_diag (%, Frontal)· uses extra data· 2021-11-03
    1.12
    best: 2.68 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face ModellingonAFLW-19
    NME_diag (%, Full)· uses extra data· 2021-11-03
    1.31
    best: 3.92 (CFSS)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Challenge)· uses extra data· 2021-11-03
    4.13
    best: 8.2 (ASMNet)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Common)· uses extra data· 2021-11-03
    2.61
    best: 5.09 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Full)· uses extra data· 2021-11-03
    2.94
    best: 5.63 (3DDFA)
    Subpixel Heatmap Regression for Facial Landmark LocalizationarXiv:2111.02360