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Models/ReLaX-VQA

ReLaX-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 UnderstandingonLIVE-VQC
    PLCC· 2024-07-16
    0.8079
    best: 0.8876 (ReLaX-VQA (finetuned on LIVE-VQC))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496
  • Video UnderstandingonYouTube-UGC
    PLCC· 2024-07-16
    0.8204
    best: 0.874 (DOVER (end-to-end))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496
  • Video UnderstandingonKoNViD-1k
    PLCC· 2024-07-16
    0.8473
    best: 0.905 (DOVER (end-to-end))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496
  • VideoonLIVE-VQC
    PLCC· 2024-07-16
    0.8079
    best: 0.8876 (ReLaX-VQA (finetuned on LIVE-VQC))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496
  • VideoonYouTube-UGC
    PLCC· 2024-07-16
    0.8204
    best: 0.874 (DOVER (end-to-end))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496
  • VideoonKoNViD-1k
    PLCC· 2024-07-16
    0.8473
    best: 0.905 (DOVER (end-to-end))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496

Time Series3 results

  • Video Quality AssessmentonLIVE-VQC
    PLCC· 2024-07-16
    0.8079
    best: 0.8876 (ReLaX-VQA (finetuned on LIVE-VQC))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496
  • Video Quality AssessmentonYouTube-UGC
    PLCC· 2024-07-16
    0.8204
    best: 0.874 (DOVER (end-to-end))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496
  • Video Quality AssessmentonKoNViD-1k
    PLCC· 2024-07-16
    0.8473
    best: 0.905 (DOVER (end-to-end))
    ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentarXiv:2407.11496