What if these filters are explicitly used as preprocessing steps when training a segmentation model? Would that at least save some epochs, if not increase accuracy?

I'm suspecting it could be similar to the learned vs. predefined positional embeddings in GPTs. That is, the learned version is a "warped and distorted" version of the exact predefined pattern, and yet somehow it performs a bit better, and no one knows exactly why.