Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification

Lin Wu; Yang Wang; Junbin Gao; Meng Wang; Zheng-Jun Zha; Dacheng Tao

doi:10.1109/TNNLS.2020.2979190

Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification

Lin Wu, Yang Wang, Junbin Gao, Meng Wang, Zheng-Jun Zha, Dacheng Tao

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	9055370
Pages (from-to)	722-735
Number of pages	14
Journal	IEEE Trans. Neural Networks Learn. Syst.
Volume	32
Issue number	2
DOIs	https://doi.org/10.1109/TNNLS.2020.2979190
Publication status	Published - Feb 2021
Externally published	Yes

Access to Document

10.1109/TNNLS.2020.2979190

Cite this

@article{1a5afb095545495db899b7bbcb70ee91,

title = "Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification",

author = "Lin Wu and Yang Wang and Junbin Gao and Meng Wang and Zheng-Jun Zha and Dacheng Tao",

year = "2021",

month = feb,

doi = "10.1109/TNNLS.2020.2979190",

language = "English",

volume = "32",

pages = "722--735",

journal = "IEEE Transactions on Neural Networks and Learning Systems",

issn = "1045-9227",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

number = "2",

}

TY - JOUR

T1 - Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification

AU - Wu, Lin

AU - Wang, Yang

AU - Gao, Junbin

AU - Wang, Meng

AU - Zha, Zheng-Jun

AU - Tao, Dacheng

PY - 2021/2

Y1 - 2021/2

UR - https://www.wikidata.org/entity/Q91805112

UR - https://dblp.org/db/journals/tnn/tnn32.html#WuWGWZT21

U2 - 10.1109/TNNLS.2020.2979190

DO - 10.1109/TNNLS.2020.2979190

M3 - Article

C2 - 32275611

VL - 32

SP - 722

EP - 735

JO - IEEE Transactions on Neural Networks and Learning Systems

JF - IEEE Transactions on Neural Networks and Learning Systems

SN - 1045-9227

IS - 2

M1 - 9055370

ER -

Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification

Access to Document

Other files and links

Cite this