Mounir Messaoudi

Designing Affine-Invariant Neural Networks for Photometric Corruption Robustness and Generalization

Standard Convolutional Neural Networks are notoriously sensitive to photometric variations, a critical flaw that data augmentation only partially mitigates without offering formal guarantees. We introduce the *Scale-Equivariant Shift-Invariant* (*SEqSI*) model, a novel architecture that achieves int…