2017
Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups
CVPR 2017poster
We propose a new method for creating computationally efficient and compact convolutional neural networks (CNNs) using a novel sparse connection structure that resembles a tree root. This allows a significant reduction in computational cost and number of parameters compared to state-of-the-art deep C…