SWAD: DomainGeneralization bySeekingFlatMinima--Appendix

Neural Information Processing Systems 

ImageNetC measures the robustness against common corruptions such as Gaussian noise, blur, or weather changes. We follow Hendrycks and Dietterich[10] for measuring mean corruption error (mCE). The lower ImageNet-C implies that themodel isrobustagainst corruption noises. BGC evaluates the robustness against background manipulations aswell asthe adversarial robustness.

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