{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T19:54:21Z","timestamp":1766087661453,"version":"3.37.3"},"reference-count":85,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006060","U2013210"],"award-info":[{"award-number":["62006060","U2013210"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2020.3036720","type":"journal-article","created":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T22:41:46Z","timestamp":1606862506000},"page":"907-920","source":"Crossref","is-referenced-by-count":13,"title":["Push for Center Learning via Orthogonalization and Subspace Masking for Person Re-Identification"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9731-6631","authenticated-orcid":false,"given":"Weinong","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8117-2696","authenticated-orcid":false,"given":"Wenjie","family":"Pei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiong","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2903-9270","authenticated-orcid":false,"given":"Shu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1578-2634","authenticated-orcid":false,"given":"Guangming","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Wing","family":"Tai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00374"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00380"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00839"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975712"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_25"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2901407"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00196"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.135"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00159"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2898567"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2020.2999445"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00241"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_29"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_29"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_3"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.715"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_28"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_23"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2946030"},{"key":"ref34","article-title":"Horizontal pyramid matching for person re-identification","author":"fu","year":"2018","journal-title":"arXiv 1804 05275"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref62","first-page":"1","article-title":"Evaluating appearance models for recognition, reacquisition, and tracking","volume":"3","author":"gray","year":"2007","journal-title":"Proc IEEE Int Workshop Perform Eval Tracking Surveill (PETS)"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"ref63","article-title":"Deep learning for person re-identification: A survey and outlook","author":"ye","year":"2020","journal-title":"arXiv 2001 04193"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.427"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00051"},{"key":"ref65","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref66","article-title":"Random erasing data augmentation","author":"zhong","year":"2017","journal-title":"arXiv 1708 04896"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref67","article-title":"Accurate, large minibatch SGD: Training ImageNet in 1 hour","author":"goyal","year":"2017","journal-title":"arXiv 1706 02677"},{"key":"ref68","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018859"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00225"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.246"},{"key":"ref24","article-title":"Person re-identification: Past, present and future","author":"zheng","year":"2016","journal-title":"arXiv 1610 02984"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33863-2_41"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00117"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_45"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2893066"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2970590"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref55","article-title":"Deeply-supervised nets","author":"lee","year":"2015","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3159171"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3013379"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2921454"},{"key":"ref11","first-page":"1120","article-title":"Unitary evolution recurrent neural networks","author":"arjovsky","year":"2016","journal-title":"Proc ICML"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"ref12","first-page":"1","article-title":"On orthogonality and learning recurrent networks with long term dependencies","author":"vorontsov","year":"2017","journal-title":"Proc ICML"},{"key":"ref13","first-page":"4261","article-title":"Can we gain more from orthogonality regularizations in training deep networks?","author":"bansal","year":"2018","journal-title":"Proc NeurIPS"},{"key":"ref14","first-page":"1","article-title":"Orthogonal weight normalization: Solution to optimization over multiple dependent Stiefel manifolds in deep neural networks","author":"huang","year":"2018","journal-title":"Proc AAAI"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.410"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00224"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.539"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00190"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.492"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539926"},{"key":"ref83","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.223"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00902"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"ref6","article-title":"In defense of the triplet loss for person re-identification","author":"hermans","year":"2017","journal-title":"arXiv 1703 07737"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref85","article-title":"Improving person re-identification by attribute and identity learning","author":"lin","year":"2017","journal-title":"arXiv 1703 07220"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2017.8272706"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"ref49","first-page":"10727","article-title":"Dropblock: A regularization method for convolutional networks","author":"ghiasi","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.10.028"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2822810"},{"key":"ref45","first-page":"7","article-title":"Large-margin softmax loss for convolutional neural networks","author":"liu","year":"2016","journal-title":"Proc ICML"},{"key":"ref48","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":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2787612"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2959256"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-01142-4"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09274519.pdf?arnumber=9274519","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:04Z","timestamp":1652194204000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9274519\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":85,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3036720","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2021]]}}}