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Models/TOPIQ trained on SPAQ (NR)

TOPIQ trained on SPAQ (NR)

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· 2023-08-06
    0.5314
    best: 0.69774 (ClipIQA+)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060
  • Video UnderstandingonMSU SR-QA Dataset
    PLCC· 2023-08-06
    0.60905
    best: 0.75743 (PieAPP)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060
  • Video UnderstandingonMSU SR-QA Dataset
    SROCC· 2023-08-06
    0.64923
    best: 0.75215 (PieAPP)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060
  • VideoonMSU SR-QA Dataset
    KLCC· 2023-08-06
    0.5314
    best: 0.69774 (ClipIQA+)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060
  • VideoonMSU SR-QA Dataset
    PLCC· 2023-08-06
    0.60905
    best: 0.75743 (PieAPP)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060
  • VideoonMSU SR-QA Dataset
    SROCC· 2023-08-06
    0.64923
    best: 0.75215 (PieAPP)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060

Time Series3 results

  • Video Quality AssessmentonMSU SR-QA Dataset
    KLCC· 2023-08-06
    0.5314
    best: 0.69774 (ClipIQA+)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060
  • Video Quality AssessmentonMSU SR-QA Dataset
    PLCC· 2023-08-06
    0.60905
    best: 0.75743 (PieAPP)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060
  • Video Quality AssessmentonMSU SR-QA Dataset
    SROCC· 2023-08-06
    0.64923
    best: 0.75215 (PieAPP)
    TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentarXiv:2308.03060