TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/FASTER-VQA

FASTER-VQA

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 NR VQA Database
    KLCC· 2022-07-06
    0.5645
    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
    0.8087
    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
    0.7508
    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
    0.5645
    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
    0.8087
    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
    0.7508
    best: 0.9289 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595

Time Series3 results

  • Video Quality AssessmentonMSU NR VQA Database
    KLCC· 2022-07-06
    0.5645
    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
    0.8087
    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
    0.7508
    best: 0.9289 (MDTVSFA)
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595