{"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/video-person-re-id-fantastic-techniques-and","title":"Video Person Re-ID: Fantastic Techniques and Where to Find Them","arxiv_id":"1912.05295","date":"2019-11-21","proceeding":null,"authors":["Priyank Pathak","Amir Erfan Eshratifar","Michael Gormish"],"abstract":"The ability to identify the same person from multiple camera views without the explicit use of facial recognition is receiving commercial and academic interest. The current status-quo solutions are based on attention neural models. In this paper, we propose Attention and CL loss, which is a hybrid of center and Online Soft Mining (OSM) loss added to the attention loss on top of a temporal attention-based neural network. The proposed loss function applied with bag-of-tricks for training surpasses the state of the art on the common person Re-ID datasets, MARS and PRID 2011. Our source code is publicly available on github.","url_abs":"https://arxiv.org/abs/1912.05295v1","url_pdf":"https://arxiv.org/pdf/1912.05295v1.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":"video-person-re-id-fantastic-techniques-and","repo_url":"https://github.com/ppriyank/Video-Person-Re-ID-Fantastic-Techniques-and-Where-to-Find-Them","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"person-re-identification","task_name":"Person Re-Identification"},{"task_slug":"video-based-person-re-identification","task_name":"Video-Based Person Re-Identification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/person-re-identification-on-mars","task":"Person Re-Identification","dataset":"MARS","model":"B-BOT + OSM + CL Centers* (Re-rank)","rank_in_archive_order":1,"of":21,"metrics":{"mAP":"88.5"},"uses_additional_data":false},{"leaderboard":"/sota/person-re-identification-on-mars","task":"Person Re-Identification","dataset":"MARS","model":"B-BOT + Attention and CL loss*","rank_in_archive_order":10,"of":21,"metrics":{"mAP":"82.9"},"uses_additional_data":false},{"leaderboard":"/sota/person-re-identification-on-mars","task":"Person Re-Identification","dataset":"MARS","model":"B-BOT + Attention and CL loss","rank_in_archive_order":21,"of":21,"metrics":{"Rank-1":"88.6"},"uses_additional_data":false},{"leaderboard":"/sota/person-re-identification-on-prid2011","task":"Person Re-Identification","dataset":"PRID2011","model":"B-BOT + Attention and CL loss*","rank_in_archive_order":1,"of":13,"metrics":{"Rank-1":"96.6"},"uses_additional_data":true}],"syntology":{"syntology_url":"https://syntology.ai/paper/1912.05295","atlas_url":"https://app.syntology.ai/?focus=1912.05295","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}