Learning feature aggregation in temporal domain for re-identification-Reference-Cited by-同舟云学术

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Learning feature aggregation in temporal domain for re-identification

Published:2020-03 Issue: Volume:192 Page:102883
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Špaňhel Jakub,Sochor Jakub,Juránek Roman,Dobeš Petr,Bartl Vojtěch,Herout Adam

Funder

TACR, Czechia

The Ministry of Education, Youth and Sports of the Czech Republic

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference61 articles.

1. Object reacquisition and tracking in large-scale smart camera networks;Arth,2007

2. Beyond triplet loss: A deep quadruplet network for person re-identification;Chen,2017

3. Fast person re-identification via cross-camera semantic binary transformation;Chen,2017

4. Deep spatial-temporal fusion network for video-based person re-identification;Chen,2017

5. Person re-identification by multi-channel parts-based cnn with improved triplet loss function;Cheng,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LABNet: Local graph aggregation network with class balanced loss for vehicle re-identification;Neurocomputing;2021-11

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