{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T00:26:25Z","timestamp":1777422385009,"version":"3.51.4"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771066"],"award-info":[{"award-number":["61771066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876022"],"award-info":[{"award-number":["61876022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007937","name":"Peking University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007937","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2976849","type":"journal-article","created":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T22:16:57Z","timestamp":1582841817000},"page":"40018-40028","source":"Crossref","is-referenced-by-count":3,"title":["Deep Group-Shuffling Dual Random Walks With Label Smoothing for Person Reidentification"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5265-8347","authenticated-orcid":false,"given":"Ruopei","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4769-4439","authenticated-orcid":false,"given":"Chaoqun","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5716-268X","authenticated-orcid":false,"given":"Chun-Guang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6593-4419","authenticated-orcid":false,"given":"Jiaru","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00632"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00720"},{"key":"ref33","first-page":"1","article-title":"Random erasing data augmentation","author":"zhong","year":"2020","journal-title":"Proc 34th AAAI Conf Artif Intell"},{"key":"ref32","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00541"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_40"},{"key":"ref35","first-page":"1222","article-title":"FD-GAN: Pose-guided feature distilling gan for robust person re-identification","author":"ge","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","article-title":"Bag of tricks and a strong baseline for deep person re-identification","author":"luo","year":"2019","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit Workshops"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.170"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11744047_33"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_30"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_25"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.62"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.135"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.358"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2652725"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2013.6607577"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.410"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995598"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2514498"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00902"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545619"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.357"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3159171"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00241"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.06.006"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2891895"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_35"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33863-2_39"},{"key":"ref6","first-page":"501","article-title":"Pedestrian recognition with a learned metric","author":"dikmen","year":"2010","journal-title":"Proc 10th Asian Conf Comput Vis"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273523"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.463"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247939"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.186"},{"key":"ref9","first-page":"1473","article-title":"Distance metric learning for large margin nearest neighbor classification","author":"weinberger","year":"2006","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018295"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018859"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.427"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00224"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00225"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00839"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00117"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09015960.pdf?arnumber=9015960","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:51:56Z","timestamp":1639770716000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9015960\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2976849","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}