Sounds like bullshit, to be frank. Training data already goes through a number of "subtle augmentations" and instead of "breaking" the resulting model, the augm

Sounds like bullshit, to be frank. Training data already goes through a number of "subtle augmentations" and instead of "breaking" the resulting model, the augmentations help the model to generalize better.