Learning a Metric Embedding for Face Recognition using the Multibatch Method.

Oren Tadmor, Tal Rosenwein, Shai Shalev-Shwartz, Yonatan Wexler, Amnon Shashua

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work is motivated by the engineering task of achieving a near state-of-the-art face recognition on a minimal computing budget running on an embedded system. Our main technical contribution centers around a novel training method, called Multibatch, for similarity learning, i.e., for the task of generating an invariant face signature'' through training pairs of same'' and not-same'' face images.
Original languageEnglish
Title of host publicationNIPS 2016
Pages1388-1389
Number of pages2
ISBN (Electronic)9781510838819
StatePublished - 2016
Event30th Annual Conference on Neural Information Processing Systems, NIPS 2016 - Barcelona, Spain
Duration: 5 Dec 201610 Dec 2016

Publication series

NameAdvances in Neural Information Processing Systems
Volume29

Conference

Conference30th Annual Conference on Neural Information Processing Systems, NIPS 2016
Country/TerritorySpain
CityBarcelona
Period5/12/1610/12/16

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