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Models/MDTVSFA

MDTVSFA

Reported on 18 benchmarks across 3 tasks · 1 paper · 9 SOTA

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

Computer Vision12 results

  • Video UnderstandingonMSU NR VQA Database
    KLCC· 2020-11-09
    0.7883
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video UnderstandingonMSU NR VQA Database
    PLCC· 2020-11-09
    0.9431
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video UnderstandingonMSU NR VQA Database
    SRCC· 2020-11-09
    0.9289
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • VideoonMSU NR VQA Database
    KLCC· 2020-11-09
    0.7883
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • VideoonMSU NR VQA Database
    PLCC· 2020-11-09
    0.9431
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • VideoonMSU NR VQA Database
    SRCC· 2020-11-09
    0.9289
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video UnderstandingonMSU SR-QA Dataset
    KLCC· 2020-11-09
    0.48406
    best: 0.69774 (ClipIQA+)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video UnderstandingonMSU SR-QA Dataset
    PLCC· 2020-11-09
    0.61821
    best: 0.75743 (PieAPP)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video UnderstandingonMSU SR-QA Dataset
    SROCC· 2020-11-09
    0.60193
    best: 0.75215 (PieAPP)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • VideoonMSU SR-QA Dataset
    KLCC· 2020-11-09
    0.48406
    best: 0.69774 (ClipIQA+)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • VideoonMSU SR-QA Dataset
    PLCC· 2020-11-09
    0.61821
    best: 0.75743 (PieAPP)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • VideoonMSU SR-QA Dataset
    SROCC· 2020-11-09
    0.60193
    best: 0.75215 (PieAPP)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263

Time Series6 results

  • Video Quality AssessmentonMSU NR VQA Database
    KLCC· 2020-11-09
    0.7883
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video Quality AssessmentonMSU NR VQA Database
    PLCC· 2020-11-09
    0.9431
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video Quality AssessmentonMSU NR VQA Database
    SRCC· 2020-11-09
    0.9289
    SOTA
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video Quality AssessmentonMSU SR-QA Dataset
    KLCC· 2020-11-09
    0.48406
    best: 0.69774 (ClipIQA+)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video Quality AssessmentonMSU SR-QA Dataset
    PLCC· 2020-11-09
    0.61821
    best: 0.75743 (PieAPP)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263
  • Video Quality AssessmentonMSU SR-QA Dataset
    SROCC· 2020-11-09
    0.60193
    best: 0.75215 (PieAPP)
    Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets TrainingarXiv:2011.04263