Local-Order Auxiliary Losses Can Improve Autoencoder Reconstruction
arXiv:2504.04202v4 Announce Type: replace
Abstract: Mean-squared error is the default objective for training autoencoders, yet compressed reconstructions often depend not only on pointwise accuracy but also on preserving local spatial order. We study …