Project Details

Caffe XNOR-nets

Project Period: 1. 3. 2017 - 30. 6. 2017

Project Type: contract

Partner: 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
Publications

2017

  • HRADIŠ Michal and KOHÚT Jan. XNOR net report. Brno: Fingera s.r.o., 2017. Detail
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