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

• 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
• Institution: Singapore Management University

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...