{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:19:59Z","timestamp":1740169199545,"version":"3.37.3"},"reference-count":62,"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":[{"name":"Basic Scientific Research Projects of Central Universities","award":["2572018BH07"],"award-info":[{"award-number":["2572018BH07"]}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["LH2019C003"],"award-info":[{"award-number":["LH2019C003"]}],"id":[{"id":"10.13039\/501100005046","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.2020.3029180","type":"journal-article","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T19:32:23Z","timestamp":1602012743000},"page":"181943-181954","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Pedestrian Reidentification Method Based on a Multiview Generative Adversarial Network"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8692-6255","authenticated-orcid":false,"given":"Jifeng","family":"Guo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0940-3351","authenticated-orcid":false,"given":"Zhiqi","family":"Pang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0816-0813","authenticated-orcid":false,"given":"Ming","family":"Yu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5366-640X","authenticated-orcid":false,"given":"Peijiao","family":"Xie","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2624-5500","authenticated-orcid":false,"given":"Dan","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref38","first-page":"480","article-title":"Beyond part models: Person retrieval with refined part pooling","author":"sun","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.82"},{"key":"ref32","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2013","journal-title":"arXiv 1312 6114"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CIAPP.2017.8167183"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICSAI48974.2019.9010120"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00252"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240536"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_22"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"ref60","first-page":"52","article-title":"IntroVAE: Introspective variational autoencoders for photographic image synthesis","author":"huang","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00431"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.124"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10287-004-0010-0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2186810"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.65.041905"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390302"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref20","article-title":"Wasserstein GAN","author":"arjovsky","year":"2017","journal-title":"arXiv 1701 07875"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2959560"},{"key":"ref21","first-page":"5767","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2933334"},{"key":"ref23","first-page":"1","article-title":"Single image dehazing via multi-scale convolutional neural networks with holistic edges","volume":"126","author":"ren","year":"2019","journal-title":"Int J Comput Vis"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.93"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref59","article-title":"Adversarial feature learning","author":"donahue","year":"2016","journal-title":"arXiv 1605 09782"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref57","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref56","first-page":"6626","article-title":"Gans trained by a two time-scale update rule converge to a local Nash equilibrium","author":"heusel","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref55","first-page":"2234","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.579"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3390\/sym11010001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.103"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2904278"},{"key":"ref12","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":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2700762"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.149"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00902"},{"key":"ref18","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","first-page":"855","article-title":"Image recognition with conditional deep convolutional generative adversarial networks","volume":"44","author":"tang","year":"2018","journal-title":"ZiDongHua XueBao"},{"key":"ref4","article-title":"Deep transfer learning for person re-identification","author":"geng","year":"2016","journal-title":"arXiv 1611 05244"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"ref6","article-title":"Person re-identification: Past, present and future","author":"zheng","year":"2016","journal-title":"arXiv 1610 02984"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.06.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2873599"},{"key":"ref49","article-title":"Spectral normalization for generative adversarial networks","author":"miyato","year":"2018","journal-title":"arXiv 1802 05957"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910414"},{"key":"ref46","article-title":"Resnet in resnet: Generalizing residual architectures","author":"targ","year":"2016","journal-title":"arXiv 1603 08029"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2925070"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00494"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00871"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2976849"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2982032"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09214812.pdf?arnumber=9214812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:25Z","timestamp":1639770985000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9214812\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3029180","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}