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Models/ERQA

ERQA

Reported on 9 benchmarks across 3 tasks · 1 paper

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

Computer Vision6 results

  • Video UnderstandingonMSU SR-QA Dataset
    KLCC· 2021-10-19
    0.47785
    best: 0.69774 (ClipIQA+)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992
  • Video UnderstandingonMSU SR-QA Dataset
    PLCC· 2021-10-19
    0.60188
    best: 0.75743 (PieAPP)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992
  • Video UnderstandingonMSU SR-QA Dataset
    SROCC· 2021-10-19
    0.59345
    best: 0.75215 (PieAPP)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992
  • VideoonMSU SR-QA Dataset
    KLCC· 2021-10-19
    0.47785
    best: 0.69774 (ClipIQA+)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992
  • VideoonMSU SR-QA Dataset
    PLCC· 2021-10-19
    0.60188
    best: 0.75743 (PieAPP)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992
  • VideoonMSU SR-QA Dataset
    SROCC· 2021-10-19
    0.59345
    best: 0.75215 (PieAPP)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992

Time Series3 results

  • Video Quality AssessmentonMSU SR-QA Dataset
    KLCC· 2021-10-19
    0.47785
    best: 0.69774 (ClipIQA+)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992
  • Video Quality AssessmentonMSU SR-QA Dataset
    PLCC· 2021-10-19
    0.60188
    best: 0.75743 (PieAPP)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992
  • Video Quality AssessmentonMSU SR-QA Dataset
    SROCC· 2021-10-19
    0.59345
    best: 0.75215 (PieAPP)
    ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionarXiv:2110.09992