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Models/DCFE

DCFE

Reported on 45 benchmarks across 5 tasks

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-ocular (%, Challenge)
    5.22
    best: 8.2 (ASMNet)
  • Face Reconstructionon300W
    NME_inter-ocular (%, Common)
    2.76
    best: 5.09 (3DDFA)
  • Face Reconstructionon300W
    NME_inter-ocular (%, Full)
    3.24
    best: 5.63 (3DDFA)
  • Face Reconstructionon300W
    NME_inter-pupil (%, Challenge)
    7.54
    best: 10.59 (3DDFA)
  • Face Reconstructionon300W
    NME_inter-pupil (%, Common)
    3.83
    best: 6.15 (3DDFA)
  • Face Reconstructionon300W
    NME_inter-pupil (%, Full)
    4.55
    best: 7.01 (3DDFA)
  • Face Reconstructionon300W Split 2
    AUC@8 (inter-ocular)
    52.42
    best: 57.27 (SPIGA)
  • Face Reconstructionon300W Split 2
    FR@8 (inter-ocular)
    1.83
    best: 2.67 (DAN)
  • Face Reconstructionon300W Split 2
    NME (inter-ocular)
    3.88
    best: 4.3 (DAN)
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)
    5.22
    best: 8.2 (ASMNet)
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Common)
    2.76
    best: 5.09 (3DDFA)
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Full)
    3.24
    best: 5.63 (3DDFA)
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Challenge)
    7.54
    best: 10.59 (3DDFA)
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Common)
    3.83
    best: 6.15 (3DDFA)
  • 3D Face Reconstructionon300W
    NME_inter-pupil (%, Full)
    4.55
    best: 7.01 (3DDFA)
  • 3D Face Reconstructionon300W Split 2
    AUC@8 (inter-ocular)
    52.42
    best: 57.27 (SPIGA)
  • 3D Face Reconstructionon300W Split 2
    FR@8 (inter-ocular)
    1.83
    best: 2.67 (DAN)
  • 3D Face Reconstructionon300W Split 2
    NME (inter-ocular)
    3.88
    best: 4.3 (DAN)

Music9 results

  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Challenge)
    5.22
    best: 8.2 (ASMNet)
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Common)
    2.76
    best: 5.09 (3DDFA)
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Full)
    3.24
    best: 5.63 (3DDFA)
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Challenge)
    7.54
    best: 10.59 (3DDFA)
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Common)
    3.83
    best: 6.15 (3DDFA)
  • Facial Recognition and Modellingon300W
    NME_inter-pupil (%, Full)
    4.55
    best: 7.01 (3DDFA)
  • Facial Recognition and Modellingon300W Split 2
    AUC@8 (inter-ocular)
    52.42
    best: 57.27 (SPIGA)
  • Facial Recognition and Modellingon300W Split 2
    FR@8 (inter-ocular)
    1.83
    best: 2.67 (DAN)
  • Facial Recognition and Modellingon300W Split 2
    NME (inter-ocular)
    3.88
    best: 4.3 (DAN)

Methodology9 results

  • 3Don300W
    NME_inter-ocular (%, Challenge)
    5.22
    best: 8.2 (ASMNet)
  • 3Don300W
    NME_inter-ocular (%, Common)
    2.76
    best: 5.09 (3DDFA)
  • 3Don300W
    NME_inter-ocular (%, Full)
    3.24
    best: 5.63 (3DDFA)
  • 3Don300W
    NME_inter-pupil (%, Challenge)
    7.54
    best: 10.59 (3DDFA)
  • 3Don300W
    NME_inter-pupil (%, Common)
    3.83
    best: 6.15 (3DDFA)
  • 3Don300W
    NME_inter-pupil (%, Full)
    4.55
    best: 7.01 (3DDFA)
  • 3Don300W Split 2
    AUC@8 (inter-ocular)
    52.42
    best: 57.27 (SPIGA)
  • 3Don300W Split 2
    FR@8 (inter-ocular)
    1.83
    best: 2.67 (DAN)
  • 3Don300W Split 2
    NME (inter-ocular)
    3.88
    best: 4.3 (DAN)

Medical9 results

  • 3D Face Modellingon300W
    NME_inter-ocular (%, Challenge)
    5.22
    best: 8.2 (ASMNet)
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Common)
    2.76
    best: 5.09 (3DDFA)
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Full)
    3.24
    best: 5.63 (3DDFA)
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Challenge)
    7.54
    best: 10.59 (3DDFA)
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Common)
    3.83
    best: 6.15 (3DDFA)
  • 3D Face Modellingon300W
    NME_inter-pupil (%, Full)
    4.55
    best: 7.01 (3DDFA)
  • 3D Face Modellingon300W Split 2
    AUC@8 (inter-ocular)
    52.42
    best: 57.27 (SPIGA)
  • 3D Face Modellingon300W Split 2
    FR@8 (inter-ocular)
    1.83
    best: 2.67 (DAN)
  • 3D Face Modellingon300W Split 2
    NME (inter-ocular)
    3.88
    best: 4.3 (DAN)