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Models/CATS

CATS

Reported on 8 benchmarks across 4 tasks · 2 papers · 2 SOTA

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

Time Series4 results

  • Time Series ForecastingonETTh1 (336) Multivariate
    MAE· 2024-03-04
    0.437
    best: 0.2158 (DeformTime)
    CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous VariablesarXiv:2403.01673
  • Time Series ForecastingonETTh1 (336) Multivariate
    MSE· 2024-03-04
    0.423
    best: 0.374 (D-PAD)
    CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous VariablesarXiv:2403.01673
  • Time Series AnalysisonETTh1 (336) Multivariate
    MAE· 2024-03-04
    0.437
    best: 0.2158 (DeformTime)
    CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous VariablesarXiv:2403.01673
  • Time Series AnalysisonETTh1 (336) Multivariate
    MSE· 2024-03-04
    0.423
    best: 0.374 (D-PAD)
    CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous VariablesarXiv:2403.01673

Computer Vision2 results

  • Edge DetectiononMDBD
    ODS· 2020-11-19
    0.891
    best: 0.894 (DexiNed-a)
    SOTA
    Unmixing Convolutional Features for Crisp Edge DetectionarXiv:2011.09808
  • Edge DetectiononBIPED
    ODS· 2020-11-19
    0.887
    best: 0.916 (DDN)
    Unmixing Convolutional Features for Crisp Edge DetectionarXiv:2011.09808

Methodology2 results

  • 2D Object DetectiononMDBD
    ODS· 2020-11-19
    0.891
    best: 0.894 (DexiNed-a)
    SOTA
    Unmixing Convolutional Features for Crisp Edge DetectionarXiv:2011.09808
  • 2D Object DetectiononBIPED
    ODS· 2020-11-19
    0.887
    best: 0.916 (DDN)
    Unmixing Convolutional Features for Crisp Edge DetectionarXiv:2011.09808