Peter Neri

Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification

We propose a novel enhancement to Convolutional Neural Networks (CNNs) by incorporating learnable higher-order convolutions inspired by nonlinear biological visual processing. Our model extends the classical convolution operator using a Volterra-like expansion to capture multiplicative interactions…