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Models/LRP

LRP

Reported on 9 benchmarks across 3 tasks · 1 paper

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

Methodology6 results

  • Few-Shot LearningonChestX
    5 shot· 2020-07-17
    24.53
    best: 26.24 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790
  • Few-Shot LearningonEuroSAT
    5 shot· 2020-07-17
    77.14
    best: 91.64 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790
  • Few-Shot LearningonISIC2018
    5 shot· 2020-07-17
    44.14
    best: 53.05 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790
  • Meta-LearningonChestX
    5 shot· 2020-07-17
    24.53
    best: 26.24 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790
  • Meta-LearningonEuroSAT
    5 shot· 2020-07-17
    77.14
    best: 91.64 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790
  • Meta-LearningonISIC2018
    5 shot· 2020-07-17
    44.14
    best: 53.05 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790

Computer Vision3 results

  • Cross-Domain Few-ShotonChestX
    5 shot· 2020-07-17
    24.53
    best: 26.24 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790
  • Cross-Domain Few-ShotonEuroSAT
    5 shot· 2020-07-17
    77.14
    best: 91.64 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790
  • Cross-Domain Few-ShotonISIC2018
    5 shot· 2020-07-17
    44.14
    best: 53.05 (StyleAdv-FT)
    Explanation-Guided Training for Cross-Domain Few-Shot ClassificationarXiv:2007.08790