Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs
arXiv:2604.27870v1 Announce Type: new
Abstract: Convolutional Neural Networks (CNNs) are widely assumed to be translation-invariant, yet standard architectures exhibit a startling fragility: even a single-pixel shift can drastically degrade performanc…