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Models/CNNPOR

CNNPOR

Reported on 16 benchmarks across 8 tasks

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

Computer Vision10 results

  • Image Quality AssessmentonImage Aesthetics dataset
    Accuracy
    70.05
    best: 73.05 (OrdinalCLIP)
  • Image Quality AssessmentonImage Aesthetics dataset
    MAE
    0.316
    best: 0.28 (OrdinalCLIP)
  • Face Reconstructiononmebeblurf
    Accuracy
    57.4
    best: 61.2 (OrdinalCLIP)
  • Face Reconstructiononmebeblurf
    MAE
    0.55
    best: 0.47 (OrdinalCLIP)
  • 3D Face Reconstructiononmebeblurf
    Accuracy
    57.4
    best: 61.2 (OrdinalCLIP)
  • 3D Face Reconstructiononmebeblurf
    MAE
    0.55
    best: 0.47 (OrdinalCLIP)
  • Historical Color Image DatingonHCI
    MAE
    0.82
    best: 0.62 (ELB)
  • Historical Color Image DatingonHCI
    accuracy
    50.12
    best: 56.44 (OrdinalCLIP)
  • Age Estimationonmebeblurf
    Accuracy
    57.4
    best: 61.2 (OrdinalCLIP)
  • Age Estimationonmebeblurf
    MAE
    0.55
    best: 0.47 (OrdinalCLIP)

Music2 results

  • Facial Recognition and Modellingonmebeblurf
    Accuracy
    57.4
    best: 61.2 (OrdinalCLIP)
  • Facial Recognition and Modellingonmebeblurf
    MAE
    0.55
    best: 0.47 (OrdinalCLIP)

Methodology2 results

  • 3Donmebeblurf
    Accuracy
    57.4
    best: 61.2 (OrdinalCLIP)
  • 3Donmebeblurf
    MAE
    0.55
    best: 0.47 (OrdinalCLIP)

Medical2 results

  • 3D Face Modellingonmebeblurf
    Accuracy
    57.4
    best: 61.2 (OrdinalCLIP)
  • 3D Face Modellingonmebeblurf
    MAE
    0.55
    best: 0.47 (OrdinalCLIP)