End-to-end correspondence and relationship learning of mid-level deep features for person re-identification

Lin, Shan and Li, Chang-Tsun 2017, End-to-end correspondence and relationship learning of mid-level deep features for person re-identification, in DICTA 2017 : Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/DICTA.2017.8227426.

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Title End-to-end correspondence and relationship learning of mid-level deep features for person re-identification
Author(s) Lin, Shan
Li, Chang-TsunORCID iD for Li, Chang-Tsun orcid.org/0000-0003-4735-6138
Conference name Digital Image Computing: Techniques and Applications. Conference (2017 : Sydney, New South Wales)
Conference location Sydney, New South Wales
Conference dates 2017/11/29 - 2017/12/01
Title of proceedings DICTA 2017 : Proceedings of the International Conference on Digital Image Computing: Techniques and Applications
Publication date 2017
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
ISBN 9781538628393
Language eng
DOI 10.1109/DICTA.2017.8227426
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30120517

Document type: Conference Paper
Collection: School of Information Technology
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