{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:18:48Z","timestamp":1740169128051,"version":"3.37.3"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2929523","type":"journal-article","created":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T19:51:41Z","timestamp":1563479501000},"page":"97021-97031","source":"Crossref","is-referenced-by-count":3,"title":["Person Re-Identification Based on DropEasy Method"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4459-7457","authenticated-orcid":false,"given":"Huiyang","family":"Wang","sequence":"first","affiliation":[{"name":"Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8411-4387","authenticated-orcid":false,"given":"Tao","family":"Fang","sequence":"additional","affiliation":[{"name":"Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China"}]},{"given":"Yingle","family":"Fan","sequence":"additional","affiliation":[{"name":"Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China"}]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[{"name":"Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref33","article-title":"Shake-shake regularization","author":"gastaldi","year":"2017","journal-title":"arXiv 1705 07485"},{"key":"ref32","article-title":"FractalNet: Ultra-deep neural networks without residuals","author":"larsson","year":"2016","journal-title":"arXiv 1605 07648"},{"key":"ref31","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref30","first-page":"1058","article-title":"Regularization of neural networks using dropconnect","author":"wan","year":"2013","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref37","first-page":"10727","article-title":"DropBlock: A regularization method for convolutional networks","author":"ghiasi","year":"2018","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298664"},{"key":"ref35","article-title":"Shakedrop regularization for deep residual learning","author":"yamada","year":"2018","journal-title":"arXiv 1802 02375"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.410"},{"key":"ref27","article-title":"Person re-identification: Past, present and future","author":"zheng","year":"2016","journal-title":"arXiv 1610 02984"},{"key":"ref29","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.149"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_30"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_44"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref23","article-title":"In defense of the triplet loss for person re-identification","author":"hermans","year":"2017","journal-title":"arXiv 1703 07737"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.01.010"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2873599"},{"key":"ref51","article-title":"Random erasing data augmentation","author":"zhong","year":"2017","journal-title":"arXiv 1708 04896"},{"key":"ref10","article-title":"Deep-person: Learning discriminative deep features for person re-identification","author":"bai","year":"2017","journal-title":"arXiv 1711 10658"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.782"},{"key":"ref13","first-page":"2017","article-title":"Spatial transformer networks","author":"jaderberg","year":"2015","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref14","article-title":"AlignedReID: Surpassing human-level performance in person re-identification","author":"zhang","year":"2017","journal-title":"arXiv 1711 08184"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00117"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_48"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref19","first-page":"207","article-title":"Distance metric learning for large margin nearest neighbor classification","volume":"10","author":"weinberger","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_40"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.314"},{"key":"ref6","article-title":"MaskReID: A mask based deep ranking neural network for person re-identification","author":"qi","year":"2018","journal-title":"arXiv 1804 03864"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00541"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.103"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00454"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2700762"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.304"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/305"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.427"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08765728.pdf?arnumber=8765728","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:03:39Z","timestamp":1662667419000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8765728\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2929523","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}