Improving person re-identification by multi-task learning-Reference-Cited by-同舟云学术

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Improving person re-identification by multi-task learning

Published:2019-06 Issue: Volume:347 Page:109-118
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ling Hefei,Wang Ziyang,Li Ping,Shi Yuxuan,Chen Jiazhong^ORCID,Zou Fuhao

Funder

Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference52 articles.

1. Scalable person re-identification: a benchmark;Zheng,2015

2. Unlabeled samples generated by GAN improve the person re-identification baseline in vitro;Zheng,2017

3. Salient color names for person re-identification;Yang,2014

4. Covariance descriptor based on bio-inspired features for person re-identification and face verification;Ma;IVC,2014

5. Person re-identification by local maximal occurrence representation and metric learning;Liao,2015

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