Data mixing augmentation has proved effective in training deep models. Recent methods mix labels mainly according to the mixture proportion of image pixels. Due major discriminative information a fine-grained usually resides subtle regions, these tend introduce heavy label noise recognition. We propose Semantically Proportional Mixing (SnapMix) that exploits class activation map (CAM) lessen au...