Convolution goes higher-order: a biologically inspired mechanism empowers image classification

Simone Azeglio, Olivier Marre, Peter Neri +1

We propose a novel approach to image classification inspired by complex nonlinear biological visual processing, whereby classical convolutional neural networks (CNNs) are equipped…