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Models/Q-Align (VQA)

Q-Align (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 SR-QA Dataset
    KLCC· 2023-12-28
    0.58634
    best: 0.69774 (ClipIQA+)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090
  • Video UnderstandingonMSU SR-QA Dataset
    PLCC· 2023-12-28
    0.71121
    best: 0.75743 (PieAPP)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090
  • Video UnderstandingonMSU SR-QA Dataset
    SROCC· 2023-12-28
    0.71812
    best: 0.75215 (PieAPP)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090
  • VideoonMSU SR-QA Dataset
    KLCC· 2023-12-28
    0.58634
    best: 0.69774 (ClipIQA+)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090
  • VideoonMSU SR-QA Dataset
    PLCC· 2023-12-28
    0.71121
    best: 0.75743 (PieAPP)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090
  • VideoonMSU SR-QA Dataset
    SROCC· 2023-12-28
    0.71812
    best: 0.75215 (PieAPP)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090

Time Series3 results

  • Video Quality AssessmentonMSU SR-QA Dataset
    KLCC· 2023-12-28
    0.58634
    best: 0.69774 (ClipIQA+)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090
  • Video Quality AssessmentonMSU SR-QA Dataset
    PLCC· 2023-12-28
    0.71121
    best: 0.75743 (PieAPP)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090
  • Video Quality AssessmentonMSU SR-QA Dataset
    SROCC· 2023-12-28
    0.71812
    best: 0.75215 (PieAPP)
    Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsarXiv:2312.17090