Facial Expression Recognition using Transfer Learning

Soodamani Ramalingam, Fabio Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)
251 Downloads (Pure)

Abstract

In this paper, we investigate Deep Learning architectures for the recognition of facial expressions. In particular, we consider the concept of Transfer Learning whereby features learnt from generic images of large scale datasets can be used to train models of smaller databases without losing the generalization ability.
Original languageEnglish
Title of host publication2018 International Carnahan Conference on Security Technology (ICCST) Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781538679319
ISBN (Print)9781538679326
DOIs
Publication statusPublished - 24 Dec 2018
Event52nd Annual ICCST - 2018 International Carnahan Conference on Security Technology (ICCST) - Montreal, Quebec, Canada, Montreal, Canada
Duration: 22 Oct 201825 Oct 2018
https://site.ieee.org/iccst/2018-montreal-canada/

Conference

Conference52nd Annual ICCST - 2018 International Carnahan Conference on Security Technology (ICCST)
Abbreviated titleIEEE ICCST 2018
Country/TerritoryCanada
CityMontreal
Period22/10/1825/10/18
Internet address

Keywords

  • Facial Expression Recognition
  • Deep Learning

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