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Models/GLOT-DR

GLOT-DR

Reported on 12 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Methodology5 results

  • Domain AdaptationonImageCLEF-DA
    Accuracy· 2022-03-01
    90.4
    best: 94.3 (CMKD)
    SOTA
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Domain AdaptationonCIFAR-100C
    Accuracy· 2022-03-01
    58.4
    SOTA
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Domain AdaptationonCIFAR-10C
    Accuracy· 2022-03-01
    84.5
    SOTA
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Domain AdaptationonOffice-31
    Average Accuracy· 2022-03-01
    87.8
    best: 96 (FFTAT)
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Domain AdaptationonPACS
    Average Accuracy· 2022-03-01
    73.5
    best: 99 (SIMPLE+)
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553

Computer Vision5 results

  • Domain GeneralizationonCIFAR-100C
    Accuracy· 2022-03-01
    58.4
    SOTA
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Domain GeneralizationonCIFAR-10C
    Accuracy· 2022-03-01
    84.5
    SOTA
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2022-03-01
    10.6
    best: 3.96 (SimMatch)
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Semi-Supervised Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2022-03-01
    10.6
    best: 3.96 (SimMatch)
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Domain GeneralizationonPACS
    Average Accuracy· 2022-03-01
    73.5
    best: 99 (SIMPLE+)
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553

Adversarial2 results

  • Adversarial RobustnessonCIFAR-10
    Accuracy· 2022-03-01
    84.13
    best: 95.23 (Mixed classifier)
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553
  • Adversarial RobustnessonCIFAR-10
    Attack: AutoAttack· 2022-03-01
    49.94
    best: 82.6 (Stochastic-LWTA/PGD/WideResNet-34-10)
    Global-Local Regularization Via Distributional RobustnessarXiv:2203.00553