{"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/margin-sample-mining-loss-a-deep-learning","title":"Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification","arxiv_id":"1710.00478","date":"2017-10-02","proceeding":null,"authors":["Qiqi Xiao","Hao Luo","Chi Zhang"],"abstract":"Person re-identification (ReID) is an important task in computer vision.\nRecently, deep learning with a metric learning loss has become a common\nframework for ReID. In this paper, we also propose a new metric learning loss\nwith hard sample mining called margin smaple mining loss (MSML) which can\nachieve better accuracy compared with other metric learning losses, such as\ntriplet loss. In experi- ments, our proposed methods outperforms most of the\nstate-of-the-art algorithms on Market1501, MARS, CUHK03 and CUHK-SYSU.","url_abs":"http://arxiv.org/abs/1710.00478v3","url_pdf":"http://arxiv.org/pdf/1710.00478v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"margin-sample-mining-loss-a-deep-learning","repo_url":"https://github.com/PaddlePaddle/PaddleClas","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"paddle","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"metric-learning","task_name":"Metric Learning"},{"task_slug":"person-re-identification","task_name":"Person Re-Identification"},{"task_slug":null,"task_name":"Triplet"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1710.00478","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}