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Models/CCL

CCL

Reported on 11 benchmarks across 6 tasks · 1 paper · 1 SOTA

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

Computer Vision4 results

  • Face ReconstructiononAFLW-19
    NME_diag (%, Frontal)
    2.17
    best: 2.68 (CFSS)
  • Face ReconstructiononAFLW-19
    NME_diag (%, Full)
    2.72
    best: 3.92 (CFSS)
  • 3D Face ReconstructiononAFLW-19
    NME_diag (%, Frontal)
    2.17
    best: 2.68 (CFSS)
  • 3D Face ReconstructiononAFLW-19
    NME_diag (%, Full)
    2.72
    best: 3.92 (CFSS)

Methodology3 results

  • Domain AdaptationonGTAV to Cityscapes+Mapillary
    mIoU· 2021-06-07
    46.8
    best: 63.3 (Rein)
    SOTA
    Multi-Target Domain Adaptation with Collaborative Consistency LearningarXiv:2106.03418
  • 3DonAFLW-19
    NME_diag (%, Frontal)
    2.17
    best: 2.68 (CFSS)
  • 3DonAFLW-19
    NME_diag (%, Full)
    2.72
    best: 3.92 (CFSS)

Music2 results

  • Facial Recognition and ModellingonAFLW-19
    NME_diag (%, Frontal)
    2.17
    best: 2.68 (CFSS)
  • Facial Recognition and ModellingonAFLW-19
    NME_diag (%, Full)
    2.72
    best: 3.92 (CFSS)

Medical2 results

  • 3D Face ModellingonAFLW-19
    NME_diag (%, Frontal)
    2.17
    best: 2.68 (CFSS)
  • 3D Face ModellingonAFLW-19
    NME_diag (%, Full)
    2.72
    best: 3.92 (CFSS)