{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:46:20Z","timestamp":1762508780130,"version":"3.41.2"},"reference-count":33,"publisher":"World Scientific Pub Co Pte Ltd","issue":"08","funder":[{"name":"National Science Foundation for China LIESMARS Special Research Funding","award":["61572372","41671382"],"award-info":[{"award-number":["61572372","41671382"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2022,6,30]]},"abstract":"<jats:p> Most of the person re-identification (re-ID) algorithms based on deep learning mainly learn the global feature representation of pedestrians, while ignoring the important role of fine-grained pedestrian attribute features on re-ID tasks. Pedestrian attributes are middle-level semantic features, which have invariance in different poses, camera views, and illumination conditions. Considering the robustness and promotion of pedestrian attributes for person re-ID task, we propose an Attribute-guided Global and Part-level identity Network (AGPNet), which consists of a global identity task, a part-level identity task, and a pedestrian attributes learning task. AGPNet takes advantage of perceived semantic information of pedestrian attributes and deploys them as guidance to attend to human body regions and learn robust feature representation in the feature representation construction stage. Extensive experiments on two large-scale person re-ID datasets (Market-1501 and DukeMTMC-reID) show the effectiveness of our method, which is competitive with the state-of-the-art algorithms. <\/jats:p>","DOI":"10.1142\/s0218001422500112","type":"journal-article","created":{"date-parts":[[2022,5,15]],"date-time":"2022-05-15T03:49:20Z","timestamp":1652586560000},"source":"Crossref","is-referenced-by-count":4,"title":["Attribute-Guided Global and Part-Level Identity Network for Person Re-Identification"],"prefix":"10.1142","volume":"36","author":[{"given":"Shaoming","family":"Pan","sequence":"first","affiliation":[{"name":"Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7885-4343","authenticated-orcid":false,"given":"Wenqiang","family":"Feng","sequence":"additional","affiliation":[{"name":"Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7944-8515","authenticated-orcid":false,"given":"Yanwen","family":"Chong","sequence":"additional","affiliation":[{"name":"Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2022,5,12]]},"reference":[{"key":"S0218001422500112BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00225"},{"key":"S0218001422500112BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"S0218001422500112BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.149"},{"key":"S0218001422500112BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"S0218001422500112BIB005","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"S0218001422500112BIB008","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_53"},{"key":"S0218001422500112BIB009","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6296-4_5"},{"key":"S0218001422500112BIB010","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107016"},{"key":"S0218001422500112BIB011","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"S0218001422500112BIB012","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"S0218001422500112BIB013","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.06.006"},{"key":"S0218001422500112BIB014","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240585"},{"key":"S0218001422500112BIB015","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8802961"},{"key":"S0218001422500112BIB016","first-page":"1","volume-title":"ICML","author":"Nair V.","year":"2010"},{"key":"S0218001422500112BIB017","first-page":"91","volume-title":"Neural Information Processing Systems","author":"Ren S.","year":"2015"},{"key":"S0218001422500112BIB018","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"S0218001422500112BIB019","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.186"},{"key":"S0218001422500112BIB020","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_30"},{"key":"S0218001422500112BIB021","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"S0218001422500112BIB022","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_48"},{"key":"S0218001422500112BIB023","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00242"},{"key":"S0218001422500112BIB024","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.144"},{"key":"S0218001422500112BIB025","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.140"},{"key":"S0218001422500112BIB026","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00226"},{"key":"S0218001422500112BIB027","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01752-x"},{"key":"S0218001422500112BIB029","first-page":"220","volume-title":"Asian Conf. Machine Learning","author":"Zhang G.","year":"2018"},{"key":"S0218001422500112BIB030","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.349"},{"key":"S0218001422500112BIB031","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.103"},{"key":"S0218001422500112BIB032","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"S0218001422500112BIB033","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"S0218001422500112BIB034","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2873599"},{"key":"S0218001422500112BIB035","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"S0218001422500112BIB036","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910414"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001422500112","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T03:54:29Z","timestamp":1657252469000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218001422500112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,12]]},"references-count":33,"journal-issue":{"issue":"08","published-print":{"date-parts":[[2022,6,30]]}},"alternative-id":["10.1142\/S0218001422500112"],"URL":"https:\/\/doi.org\/10.1142\/s0218001422500112","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2022,5,12]]},"article-number":"2250011"}}