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Models/PaQ-2-PiQ

PaQ-2-PiQ

Reported on 21 benchmarks across 4 tasks · 1 paper

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

Computer Vision15 results

  • Video UnderstandingonMSU NR VQA Database
    KLCC· 2019-12-20
    0.7079
    best: 0.7883 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video UnderstandingonMSU NR VQA Database
    PLCC· 2019-12-20
    0.8549
    best: 0.9431 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video UnderstandingonMSU NR VQA Database
    SRCC· 2019-12-20
    0.8705
    best: 0.9289 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video UnderstandingonMSU SR-QA Dataset
    KLCC· 2019-12-20
    0.57753
    best: 0.69774 (ClipIQA+)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video UnderstandingonMSU SR-QA Dataset
    PLCC· 2019-12-20
    0.70988
    best: 0.75743 (PieAPP)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video UnderstandingonMSU SR-QA Dataset
    SROCC· 2019-12-20
    0.71167
    best: 0.75215 (PieAPP)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Image Quality AssessmentonMSU NR VQA Database
    KLCC· 2019-12-20
    0.7079
    best: 0.7648 (UNIQUE)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Image Quality AssessmentonMSU NR VQA Database
    PLCC· 2019-12-20
    0.8549
    best: 0.9238 (UNIQUE)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Image Quality AssessmentonMSU NR VQA Database
    SRCC· 2019-12-20
    0.8705
    best: 0.9148 (UNIQUE)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • VideoonMSU NR VQA Database
    KLCC· 2019-12-20
    0.7079
    best: 0.7883 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • VideoonMSU NR VQA Database
    PLCC· 2019-12-20
    0.8549
    best: 0.9431 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • VideoonMSU NR VQA Database
    SRCC· 2019-12-20
    0.8705
    best: 0.9289 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • VideoonMSU SR-QA Dataset
    KLCC· 2019-12-20
    0.57753
    best: 0.69774 (ClipIQA+)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • VideoonMSU SR-QA Dataset
    PLCC· 2019-12-20
    0.70988
    best: 0.75743 (PieAPP)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • VideoonMSU SR-QA Dataset
    SROCC· 2019-12-20
    0.71167
    best: 0.75215 (PieAPP)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088

Time Series6 results

  • Video Quality AssessmentonMSU NR VQA Database
    KLCC· 2019-12-20
    0.7079
    best: 0.7883 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video Quality AssessmentonMSU NR VQA Database
    PLCC· 2019-12-20
    0.8549
    best: 0.9431 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video Quality AssessmentonMSU NR VQA Database
    SRCC· 2019-12-20
    0.8705
    best: 0.9289 (MDTVSFA)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video Quality AssessmentonMSU SR-QA Dataset
    KLCC· 2019-12-20
    0.57753
    best: 0.69774 (ClipIQA+)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video Quality AssessmentonMSU SR-QA Dataset
    PLCC· 2019-12-20
    0.70988
    best: 0.75743 (PieAPP)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088
  • Video Quality AssessmentonMSU SR-QA Dataset
    SROCC· 2019-12-20
    0.71167
    best: 0.75215 (PieAPP)
    From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityarXiv:1912.10088