Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks

no code implementations • 12 Oct 2023 • Facundo Manuel Quiroga, Franco Ronchetti, Laura Lanzarini, Aurelio Fernandez-Bariviera

In the case of data augmented networks, we also analyze which layers help the network to encode the rotational invariance, which is important for understanding its limitations and how to best retrain a network with data augmentation to achieve invariance to rotation.

Data Augmentation Image Classification