Learning Comprehensive Global Features in Person Re-identification: Ensuring 
Discriminativeness of more Local Regions

Xi, Jiali; Huang, Jianqiang; Zheng, Shibao; Zhou, Qin; Schiele, Bernt; Hua, Xian-Sheng; Sun, Qianru

doi:10.1016/j.patcog.2022.109068

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Learning Comprehensive Global Features in Person Re-identification: Ensuring Discriminativeness of more Local Regions

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Schiele, Bernt
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Xi, J., Huang, J., Zheng, S., Zhou, Q., Schiele, B., Hua, X.-S., et al. (2023). Learning Comprehensive Global Features in Person Re-identification: Ensuring Discriminativeness of more Local Regions. Pattern Recognition, 134: 109068. doi:10.1016/j.patcog.2022.109068.

Cite as: https://hdl.handle.net/21.11116/0000-000B-C6EA-E

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