{"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/neural-person-search-machines","title":"Neural Person Search Machines","arxiv_id":"1707.06777","date":"2017-07-21","proceeding":"ICCV 2017 10","authors":["Hao Liu","Jiashi Feng","Zequn Jie","Karlekar Jayashree","Bo Zhao","Meibin Qi","Jianguo Jiang","Shuicheng Yan"],"abstract":"We investigate the problem of person search in the wild in this work. Instead\nof comparing the query against all candidate regions generated in a query-blind\nmanner, we propose to recursively shrink the search area from the whole image\ntill achieving precise localization of the target person, by fully exploiting\ninformation from the query and contextual cues in every recursive search step.\nWe develop the Neural Person Search Machines (NPSM) to implement such recursive\nlocalization for person search. Benefiting from its neural search mechanism,\nNPSM is able to selectively shrink its focus from a loose region to a tighter\none containing the target automatically. In this process, NPSM employs an\ninternal primitive memory component to memorize the query representation which\nmodulates the attention and augments its robustness to other distracting\nregions. Evaluations on two benchmark datasets, CUHK-SYSU Person Search dataset\nand PRW dataset, have demonstrated that our method can outperform current\nstate-of-the-arts in both mAP and top-1 evaluation protocols.","url_abs":"http://arxiv.org/abs/1707.06777v1","url_pdf":"http://arxiv.org/pdf/1707.06777v1.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":[],"tasks":[{"task_slug":"person-search","task_name":"Person Search"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/person-re-identification-on-cuhk-sysu","task":"Person Re-Identification","dataset":"CUHK-SYSU","model":"Neural","rank_in_archive_order":2,"of":3,"metrics":{"MAP":"77.9","Rank-1":"81.2"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1707.06777","atlas_url":"https://app.syntology.ai/?focus=1707.06777","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}