{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T20:09:20Z","timestamp":1775592560561,"version":"3.50.1"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076033"],"award-info":[{"award-number":["62076033"]}],"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":["U1931202"],"award-info":[{"award-number":["U1931202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tmm.2022.3179902","type":"journal-article","created":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T19:34:22Z","timestamp":1654198462000},"page":"4610-4622","source":"Crossref","is-referenced-by-count":31,"title":["LTReID: Factorizable Feature Generation With Independent Components for Long-Tailed Person Re-Identification"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9769-8035","authenticated-orcid":false,"given":"Pingyu","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Network System and Network Culture School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6506-7298","authenticated-orcid":false,"given":"Zhicheng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System and Network Culture School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4245-4687","authenticated-orcid":false,"given":"Fei","family":"Su","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Network System and Network Culture School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8836-1382","authenticated-orcid":false,"given":"Hongying","family":"Meng","sequence":"additional","affiliation":[{"name":"College of Engineering, Design, and Physical Sciences, Brunel University London, Uxbridge, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2914686"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.085"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301411"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref59","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58526-6_41"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00571"},{"key":"ref52","first-page":"1567","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","author":"cao","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref11","first-page":"536","article-title":"Proc. Salient color names for person re-identification","author":"yang","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00585"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_21"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.128"},{"key":"ref18","author":"krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"},{"key":"ref51","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_10"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2914680"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018577"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref41","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20064"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref49","first-page":"1919","article-title":"Meta-weight-net: Learning an explicit mapping for sample weighting","author":"shu","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.03.012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2946486"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00325"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018295"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2938523"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00871"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"ref40","first-page":"5297","article-title":"Learning disentangled representation for robust person re-identification","author":"eom","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref80","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01367"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_12"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_40"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00588"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3079910"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.140"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3059515"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019243"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00148"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3107211"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2877886"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00224"},{"key":"ref38","first-page":"1230","article-title":"FD-GAN: Pose-guided feature distilling GAN for robust person re-identification","author":"ge","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6775"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00046"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082701"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_39"},{"key":"ref24","first-page":"1","article-title":"C4. 5, class imbalance, and cost sensitivity: Why under-sampling beats over-sampling","author":"drummond","year":"0","journal-title":"Proc Workshop Learn Imbalanced Datasets II"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_23"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00974"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2870522"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.578"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014707"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00076"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref63","first-page":"499","article-title":"A discriminative feature learning approach for deep face recognition","author":"wen","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.427"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00304"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2999180"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00353"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3055952"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2958756"},{"key":"ref62","article-title":"In defense of the triplet loss for person re-identification","author":"hermans","year":"2017"},{"key":"ref61","first-page":"2579","article-title":"Visualizing data using T-SNE","volume":"9","author":"maaten","year":"2008","journal-title":"J Mach Learn Res"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10016790\/09786762.pdf?arnumber=9786762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T19:56:46Z","timestamp":1701115006000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9786762\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":80,"URL":"https:\/\/doi.org\/10.1109\/tmm.2022.3179902","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}