Faculty of Information Technology, BUT

Project Details

Caffe XNOR-nets

Project Period: 01.03.2017 - 30.06.2017

Agency: Fingera s.r.o.

English title
Caffe XNOR-nets
Type
contract
Keywords
convolutional networks, CNN,  NXOR-nets
Abstract
Evaluation of NXOR-nets and opensource tools for training of these networks.
NXOR-nets are defined in Rastegari et al.: XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks.
The evaluated propertties of NXOR-nets are the degradation of classification accuracy due to transformation to binary networks and the possibilities of compensating this degradation by enlarging the network.
Further, the project will result in free open source implementations of layers needed to train NXOR-nets in caffe framework using GPU.
Team members
Hradiš Michal, Ing., Ph.D. (UPGM FIT VUT) , research leader
Kohút Jan, Ing. (FIT VUT)
Otáhalová Sylva (UPGM FIT VUT)
Publications

2017

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