Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features

Christoph Linse, Beatrice Brückner, Thomas Martinetz

This paper proposes a novel regularization approach to bias Convolutional Neural Networks (CNNs) toward utilizing edge and line features in their hidden layers. Rather than learnin…