Clarification about CutMix about cutmix-pytorch HOT 3 OPEN

So there are chances that the main features (like head) of a dog won't be replaced right? Which in turn means paying attention to non significant parts of the object won't happen which is an important reason for improvement in scores right.

If this important thing doesn't happen how can we explain the effectiveness?

Paying attention to non-significant parts of the object will happen since CutMix does at random regions (e.g., there can be only legs of a cat and a dog when mixing the cat and dog images). Our hypothesis is that learning of non-significant regions (e.g., backgrounds) is important as well to get improved image classification performance.

Or, it would be better to check this ICML paper https://icml.cc/Conferences/2020/ScheduleMultitrack?event=6827

from cutmix-pytorch.

Or is the above mentioned scenario is purely an example? and you replace portions of images randomly?

Yes it is done randomly.

from cutmix-pytorch.

So there are chances that the main features (like head) of a dog won't be replaced right? Which in turn means paying attention to non significant parts of the object won't happen which is an important reason for improvement in scores right.

If this important thing doesn't happen how can we explain the effectiveness?

from cutmix-pytorch.