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Models/FAST-VQA (trained on LSVQ only)

FAST-VQA (trained on LSVQ only)

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 UnderstandingonLIVE-VQC
    PLCC· uses extra data· 2022-07-06
    0.844
    best: 0.8876 (ReLaX-VQA (finetuned on LIVE-VQC))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video UnderstandingonYouTube-UGC
    PLCC· uses extra data· 2022-07-06
    0.748
    best: 0.874 (DOVER (end-to-end))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video UnderstandingonKoNViD-1k
    PLCC· uses extra data· 2022-07-06
    0.855
    best: 0.905 (DOVER (end-to-end))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • VideoonLIVE-VQC
    PLCC· uses extra data· 2022-07-06
    0.844
    best: 0.8876 (ReLaX-VQA (finetuned on LIVE-VQC))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • VideoonYouTube-UGC
    PLCC· uses extra data· 2022-07-06
    0.748
    best: 0.874 (DOVER (end-to-end))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • VideoonKoNViD-1k
    PLCC· uses extra data· 2022-07-06
    0.855
    best: 0.905 (DOVER (end-to-end))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595

Time Series3 results

  • Video Quality AssessmentonLIVE-VQC
    PLCC· uses extra data· 2022-07-06
    0.844
    best: 0.8876 (ReLaX-VQA (finetuned on LIVE-VQC))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video Quality AssessmentonYouTube-UGC
    PLCC· uses extra data· 2022-07-06
    0.748
    best: 0.874 (DOVER (end-to-end))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595
  • Video Quality AssessmentonKoNViD-1k
    PLCC· uses extra data· 2022-07-06
    0.855
    best: 0.905 (DOVER (end-to-end))
    FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment SamplingarXiv:2207.02595