Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks

Modern convolutional neural networks (CNNs) have massive identical convolution blocks, and, hence, recursive sharing of parameters across these blocks has been proposed to reduce the amount of parameters.