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Models/FAST-VQA

FAST-VQA

Reported on 12 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Computer Vision8 results

  • Video UnderstandingonLIVE-FB LSVQ
    PLCC· 2022-07-06
    0.877
    best: 0.9 (OneAlign + FAST-VQA)
    SOTA
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • VideoonLIVE-FB LSVQ
    PLCC· 2022-07-06
    0.877
    best: 0.9 (OneAlign + FAST-VQA)
    SOTA
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video UnderstandingonMSU NR VQA Database
    KLCC· 2022-07-06
    0.6498
    best: 0.7883 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video UnderstandingonMSU NR VQA Database
    PLCC· 2022-07-06
    0.8613
    best: 0.9431 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video UnderstandingonMSU NR VQA Database
    SRCC· 2022-07-06
    0.8308
    best: 0.9289 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • VideoonMSU NR VQA Database
    KLCC· 2022-07-06
    0.6498
    best: 0.7883 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • VideoonMSU NR VQA Database
    PLCC· 2022-07-06
    0.8613
    best: 0.9431 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • VideoonMSU NR VQA Database
    SRCC· 2022-07-06
    0.8308
    best: 0.9289 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595

Time Series4 results

  • Video Quality AssessmentonLIVE-FB LSVQ
    PLCC· 2022-07-06
    0.877
    best: 0.9 (OneAlign + FAST-VQA)
    SOTA
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video Quality AssessmentonMSU NR VQA Database
    KLCC· 2022-07-06
    0.6498
    best: 0.7883 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video Quality AssessmentonMSU NR VQA Database
    PLCC· 2022-07-06
    0.8613
    best: 0.9431 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video Quality AssessmentonMSU NR VQA Database
    SRCC· 2022-07-06
    0.8308
    best: 0.9289 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595