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Models/AHIQ

AHIQ

Reported on 16 benchmarks across 4 tasks · 1 paper · 7 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision11 results

  • Video UnderstandingonMSU FR VQA Database
    KLCC· 2022-04-22
    0.8015
    best: 0.809 (VMAF Y (v061))
    SOTA
    Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkarXiv:2204.10485
  • Video UnderstandingonMSU FR VQA Database
    SRCC· 2022-04-22
    0.937
    best: 0.942 (VMAF Y (v061))
    SOTA
    Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkarXiv:2204.10485
  • Image Quality AssessmentonMSU FR VQA Database
    SRCC· 2022-04-22
    0.937
    SOTA
    Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkarXiv:2204.10485
  • VideoonMSU FR VQA Database
    KLCC· 2022-04-22
    0.8015
    best: 0.809 (VMAF Y (v061))
    SOTA
    Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkarXiv:2204.10485
  • VideoonMSU FR VQA Database
    SRCC· 2022-04-22
    0.937
    best: 0.942 (VMAF Y (v061))
    SOTA
    Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkarXiv:2204.10485
  • Video UnderstandingonMSU SR-QA Dataset
    KLCC
    0.47674
    best: 0.69774 (ClipIQA+)
  • Video UnderstandingonMSU SR-QA Dataset
    PLCC
    0.62311
    best: 0.75743 (PieAPP)
  • Video UnderstandingonMSU SR-QA Dataset
    SROCC
    0.60468
    best: 0.75215 (PieAPP)
  • VideoonMSU SR-QA Dataset
    KLCC
    0.47674
    best: 0.69774 (ClipIQA+)
  • VideoonMSU SR-QA Dataset
    PLCC
    0.62311
    best: 0.75743 (PieAPP)
  • VideoonMSU SR-QA Dataset
    SROCC
    0.60468
    best: 0.75215 (PieAPP)

Time Series5 results

  • Video Quality AssessmentonMSU FR VQA Database
    KLCC· 2022-04-22
    0.8015
    best: 0.809 (VMAF Y (v061))
    SOTA
    Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkarXiv:2204.10485
  • Video Quality AssessmentonMSU FR VQA Database
    SRCC· 2022-04-22
    0.937
    best: 0.942 (VMAF Y (v061))
    SOTA
    Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment NetworkarXiv:2204.10485
  • Video Quality AssessmentonMSU SR-QA Dataset
    KLCC
    0.47674
    best: 0.69774 (ClipIQA+)
  • Video Quality AssessmentonMSU SR-QA Dataset
    PLCC
    0.62311
    best: 0.75743 (PieAPP)
  • Video Quality AssessmentonMSU SR-QA Dataset
    SROCC
    0.60468
    best: 0.75215 (PieAPP)