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Models/VILA

VILA

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· 2023-03-24
    0.2618
    best: 0.69774 (ClipIQA+)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302
  • Video UnderstandingonMSU SR-QA Dataset
    PLCC· 2023-03-24
    0.28846
    best: 0.75743 (PieAPP)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302
  • Video UnderstandingonMSU SR-QA Dataset
    SROCC· 2023-03-24
    0.33728
    best: 0.75215 (PieAPP)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302
  • VideoonMSU SR-QA Dataset
    KLCC· 2023-03-24
    0.2618
    best: 0.69774 (ClipIQA+)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302
  • VideoonMSU SR-QA Dataset
    PLCC· 2023-03-24
    0.28846
    best: 0.75743 (PieAPP)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302
  • VideoonMSU SR-QA Dataset
    SROCC· 2023-03-24
    0.33728
    best: 0.75215 (PieAPP)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302

Time Series3 results

  • Video Quality AssessmentonMSU SR-QA Dataset
    KLCC· 2023-03-24
    0.2618
    best: 0.69774 (ClipIQA+)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302
  • Video Quality AssessmentonMSU SR-QA Dataset
    PLCC· 2023-03-24
    0.28846
    best: 0.75743 (PieAPP)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302
  • Video Quality AssessmentonMSU SR-QA Dataset
    SROCC· 2023-03-24
    0.33728
    best: 0.75215 (PieAPP)
    VILA: Learning Image Aesthetics from User Comments with Vision-Language PretrainingarXiv:2303.14302