{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/joint-discriminative-and-generative-learning","title":"Joint Discriminative and Generative Learning for Person Re-identification","arxiv_id":"1904.07223","date":"2019-04-15","proceeding":"CVPR 2019 6","authors":["Zhedong Zheng","Xiaodong Yang","Zhiding Yu","Liang Zheng","Yi Yang","Jan Kautz"],"abstract":"Person re-identification (re-id) remains challenging due to significant intra-class variations across different cameras. 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