Deep learning models for facial expression recognition

Sajjanhar, Atul, Wu, ZhaoQi and Wen, Quan 2018, Deep learning models for facial expression recognition, in DICTA 2018 : Proceedings of the 2018 International Conference on Digital Image Computing: Techniques and Applications, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-6, doi: 10.1109/DICTA.2018.8615843.

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Title Deep learning models for facial expression recognition
Author(s) Sajjanhar, AtulORCID iD for Sajjanhar, Atul orcid.org/0000-0002-0445-0573
Wu, ZhaoQi
Wen, Quan
Conference name Australian Pattern Recognition Society. Conference (2018 : Canberra, A.C.T.)
Conference location Canberra, A.C.T.
Conference dates 2018/12/10 - 2018/12/13
Title of proceedings DICTA 2018 : Proceedings of the 2018 International Conference on Digital Image Computing: Techniques and Applications
Editor(s) Murshed, Manzur
Paul, Manoranjan
Asikuzzaman, Md
PIckering, Mark
Natu, Ambarish
Robles-Kelly, Antonio
You, Shaodi
Zheng, Lihong
Rahman, Ashfaqur
Publication date 2018
Series Australian Pattern Recognition Society Conference
Start page 1
End page 6
Total pages 6
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) facial expression recognition
LBP
deep learning
transfer learning
CNN
Inception
VGG
VGG-Face
Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Electrical & Electronic
Imaging Science & Photographic Technology
Radiology, Nuclear Medicine & Medical Imaging
Engineering
ISBN 978-1-5386-6602-9
Language eng
DOI 10.1109/DICTA.2018.8615843
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30117983

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