{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T19:18:34Z","timestamp":1776280714861,"version":"3.50.1"},"reference-count":62,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773093"],"award-info":[{"award-number":["61773093"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key R&D Program (Intelligent Processing Technology of Multi-source Litigation Letters and Visits National","award":["2018YFC0831800"],"award-info":[{"award-number":["2018YFC0831800"]}]},{"name":"Important Science and Technology Innovation Projects in Chengdu","award":["2018-YF08-00039-GX"],"award-info":[{"award-number":["2018-YF08-00039-GX"]}]},{"name":"Research Programs of Sichuan Science and Technology Department","award":["2016JY0088"],"award-info":[{"award-number":["2016JY0088"]}]},{"name":"Research Programs of Sichuan Science and Technology Department","award":["17ZDYF3184"],"award-info":[{"award-number":["17ZDYF3184"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2018.2890394","type":"journal-article","created":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T19:48:17Z","timestamp":1546372097000},"page":"8865-8875","source":"Crossref","is-referenced-by-count":27,"title":["Recurrent Models of Visual Co-Attention for Person Re-Identification"],"prefix":"10.1109","volume":"7","author":[{"given":"Lan","family":"Lin","sequence":"first","affiliation":[]},{"given":"Huan","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Renjie","family":"Huang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4760-8702","authenticated-orcid":false,"given":"Mao","family":"Ye","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2016.10.011"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.286"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.420"},{"key":"ref32","first-page":"6967","article-title":"Deep low-resolution person re-identification","author":"jiao","year":"2018","journal-title":"Proc AAAI"},{"key":"ref31","first-page":"2590","article-title":"Person re-identification by deep learning multi-scale representations","author":"chen","year":"2018","journal-title":"Proc IEEE Int Conf Comput Vis Workshop"},{"key":"ref30","first-page":"31","article-title":"Human reidentification with transferred metric learning","author":"li","year":"2012","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.316"},{"key":"ref36","first-page":"791","article-title":"Gated siamese convolutional neural network architecture for human re-identification","author":"varior","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref35","author":"hermans","year":"2017","journal-title":"Defense of the Triplet Loss for Person Re-Identification"},{"key":"ref34","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":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.426"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/305"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.26"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2005.02.009"},{"key":"ref27","first-page":"2204","article-title":"Recurrent models of visual attention","author":"mnih","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.152"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.2.270"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.507"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2544310"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1613\/jair.301"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_52"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.139"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2666805"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.140"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2771138"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298794"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247939"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273523"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.410"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.782"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.01.030"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2852712"},{"key":"ref40","author":"lan","year":"2017","journal-title":"Deep reinforcement learning attention selection for person re-identification"},{"key":"ref12","article-title":"Transfer independently together: A generalized framework for domain adaptation","author":"li","year":"0","journal-title":"IEEE Trans Cybern"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2539541"},{"key":"ref14","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":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2602855"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2808602"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00562"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2700762"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2522418"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2012.10.008"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2602082"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2675201"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1105-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.460"},{"key":"ref9","article-title":"Adaptive deep convolutional neural networks for scene-specific object detection","author":"li","year":"0","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref45","first-page":"1057","article-title":"Policy gradient methods for reinforcement learning with function approximation","author":"sutton","year":"2000","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.148"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref42","author":"yu","year":"2017","journal-title":"The devil is in the middle Exploiting mid-level representations for cross-domain instance matching"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74690-4_71"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08598867.pdf?arnumber=8598867","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T21:21:41Z","timestamp":1643232101000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8598867\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2890394","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}