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Models/ODN

ODN

Reported on 15 benchmarks across 5 tasks

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

Computer Vision6 results

  • Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)
    6.67
    best: 8.2 (ASMNet)
  • Face Reconstructionon300W
    NME_inter-ocular (%, Common)
    3.56
    best: 5.09 (3DDFA)
  • Face Reconstructionon300W
    NME_inter-ocular (%, Full)
    4.17
    best: 5.63 (3DDFA)
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)
    6.67
    best: 8.2 (ASMNet)
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Common)
    3.56
    best: 5.09 (3DDFA)
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Full)
    4.17
    best: 5.63 (3DDFA)

Music3 results

  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Challenge)
    6.67
    best: 8.2 (ASMNet)
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Common)
    3.56
    best: 5.09 (3DDFA)
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Full)
    4.17
    best: 5.63 (3DDFA)

Methodology3 results

  • 3Don300W
    NME_inter-ocular (%, Challenge)
    6.67
    best: 8.2 (ASMNet)
  • 3Don300W
    NME_inter-ocular (%, Common)
    3.56
    best: 5.09 (3DDFA)
  • 3Don300W
    NME_inter-ocular (%, Full)
    4.17
    best: 5.63 (3DDFA)

Medical3 results

  • 3D Face Modellingon300W
    NME_inter-ocular (%, Challenge)
    6.67
    best: 8.2 (ASMNet)
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Common)
    3.56
    best: 5.09 (3DDFA)
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Full)
    4.17
    best: 5.63 (3DDFA)