a pytorch implement of Adversarially Adaptive Normalization for Single Domain Generalization
AdaBN improve about 0.1%, so change the BN can make a difference!!
As for only 0.1%, I think that's because there are 6 domain both in training set and test set. If there are only 1 domain in test set, it can improve more.
So, this proves that, ASRNorm can improve at least 0.1% because it can discriminate difference domain by dynamic parameters.