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Models/MSE

MSE

Reported on 12 benchmarks across 6 tasks · 1 paper · 3 SOTA

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

Time Series6 results

  • Time Series ForecastingonETTh1 (48)
    MSE· 2025-01-02
    0.3537
    SOTA
    Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionarXiv:2501.01087
  • Time Series AnalysisonETTh1 (48)
    MSE· 2025-01-02
    0.3537
    SOTA
    Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionarXiv:2501.01087
  • Multivariate Time Series ForecastingonETTh1 (48)
    MSE· 2025-01-02
    0.3537
    SOTA
    Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series PredictionarXiv:2501.01087
  • Video Quality AssessmentonMSU SR-QA Dataset
    KLCC
    0.12067
    best: 0.69774 (ClipIQA+)
  • Video Quality AssessmentonMSU SR-QA Dataset
    PLCC
    0.09428
    best: 0.75743 (PieAPP)
  • Video Quality AssessmentonMSU SR-QA Dataset
    SROCC
    0.16441
    best: 0.75215 (PieAPP)

Computer Vision6 results

  • Video UnderstandingonMSU SR-QA Dataset
    KLCC
    0.12067
    best: 0.69774 (ClipIQA+)
  • Video UnderstandingonMSU SR-QA Dataset
    PLCC
    0.09428
    best: 0.75743 (PieAPP)
  • Video UnderstandingonMSU SR-QA Dataset
    SROCC
    0.16441
    best: 0.75215 (PieAPP)
  • VideoonMSU SR-QA Dataset
    KLCC
    0.12067
    best: 0.69774 (ClipIQA+)
  • VideoonMSU SR-QA Dataset
    PLCC
    0.09428
    best: 0.75743 (PieAPP)
  • VideoonMSU SR-QA Dataset
    SROCC
    0.16441
    best: 0.75215 (PieAPP)