Efficient Convolutional Neural Network with Binary Quantization Layer
Published in arXiv (Cornell University) • Nov 21, 2016
Authors:,,
Mahdyar Ravanbakhsh
Hossein Mousavi
Moin Nabi
Abstract
In this paper we introduce a novel method for segmentation that can benefit from general semantics of Convolutional Neural Network (CNN). Our segmentation proposes visually and semantically coherent image segments. We use binary encoding of CNN features to overcome the difficulty of the clustering o...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!