Publication Details

XNOR net report

HRADIŠ, M.; KOHÚT, J. XNOR net report. Brno: Fingera s.r.o., 2017. p. 0-0.

Czech title

XNOR sítě - souhrnná zpráva

Type

summary research report - contract. research

Language

English

Authors

Hradiš Michal, Ing., Ph.D. (DCGM)
Kohút Jan, Ing. (DCGM)

Keywords

XNOR nets, convolutional networks, neural networks, object detection, image classification

Abstract

This document summarizes implementations of XNOR nets and related experimental results. Training implementation is provided in CAFFE. For inference of the trained networks, a custom standalone C++ code is available. The inference code has minimal dependencies, is well optimized, and supports wide range of network architectures.

Published

2017

Pages

Publisher

Fingera s.r.o.

Place

Brno

BibTeX

@misc{BUT144771,
  author="Michal {Hradiš} and Jan {Kohút}",
  title="XNOR net report",
  year="2017",
  pages="22",
  publisher="Fingera s.r.o.",
  address="Brno",
  url="https://www.fit.vut.cz/research/publication/11618/",
  note="summary research report - contract. research"
}