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

•A novel baseline for person re-identification is proposed to learn comprehensive global embedding, ensuring that more local regions (the number of local regions is manually defined) of global feature maps are discriminative.•A Non-parameterized Local Classifier (NLC) module is designed to obtain a...

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Bibliographic Details
Published inPattern recognition Vol. 134; p. 109068
Main Authors Xi, Jiali, Huang, Jianqiang, Zheng, Shibao, Zhou, Qin, Schiele, Bernt, Hua, Xian-Sheng, Sun, Qianru
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.02.2023
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