AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

Benchmark Model Rank Results
domain-generalization-on-imagenet-cAugMix (ResNet-50)#38mean Corruption Error (mCE): 65.3
domain-generalization-on-imagenet-rAugMix (ResNet-50)#34Top-1 Error Rate: 58.9
domain-generalization-on-vizwizResNet-50 (augmix)#24Accuracy - All Images: 42.2Accuracy - Corrupted Images: 35.9
robust-object-detection-on-cityscapes-1AugMix#8mPC [AP]: 18.1