Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions

Learning comprehensive global features in person re-identification: Ensuring discriminativeness of more local regions

Person re-identification (Re-ID) aims to retrieve person images from a large gallery given a query image of a person of interest. Global information and fine-grained local features are both essential for the representation. However, global embedding learned by naive classification model tends to be...

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Bibliographic Details
Main Authors: XIA, Jiali, HUANG, Jianqiang, ZHENG, Shibao, ZHOU, Qin, SCHIELE, Bernt, HUA, Xian-Sheng, SUN, Qianru
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
person re-identification
baseline
comprehensive
Databases and Information Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/7555
https://ink.library.smu.edu.sg/context/sis_research/article/8558/viewcontent/Learning_Comprehensive_Global_Features_in_Person_Re_Identification_Ensuring_Discriminativeness_of_More_Local_Regions.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7555
https://ink.library.smu.edu.sg/context/sis_research/article/8558/viewcontent/Learning_Comprehensive_Global_Features_in_Person_Re_Identification_Ensuring_Discriminativeness_of_More_Local_Regions.pdf

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