{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T16:40:03Z","timestamp":1784133603206,"version":"3.55.0"},"reference-count":77,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Research Agency","award":["ANR-19-P3IA-0002"],"award-info":[{"award-number":["ANR-19-P3IA-0002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,6,1]]},"DOI":"10.1109\/tpami.2022.3226866","type":"journal-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T23:14:47Z","timestamp":1670282087000},"page":"7494-7508","source":"Crossref","is-referenced-by-count":35,"title":["Learning Invariance From Generated Variance for Unsupervised Person Re-Identification"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6853-3298","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"first","affiliation":[{"name":"Inria and Université Côte d'Azur, Valbonne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaohui","family":"Wang","sequence":"additional","affiliation":[{"name":"Inria and Université Côte d'Azur, Valbonne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benoit","family":"Lagadec","sequence":"additional","affiliation":[{"name":"European Systems Integration, Le Cannet, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0107-7029","authenticated-orcid":false,"given":"Antitza","family":"Dantcheva","sequence":"additional","affiliation":[{"name":"Inria and Université Côte d'Azur, Valbonne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2988-2142","authenticated-orcid":false,"given":"Francois","family":"Bremond","sequence":"additional","affiliation":[{"name":"Inria and Université Côte d'Azur, Valbonne, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054775"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2807450"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093541"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00081"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00321"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00069"},{"key":"ref8","article-title":"Mutual mean-teaching: Pseudo label refinery for unsupervised domain adaptation on person re-identification","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ge"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00204"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_12"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_11"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_6"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.167"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref20","first-page":"1230","article-title":"FD-GAN: Pose-guided feature distilling GAN for robust person re-identification","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ge"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00801"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00744"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00541"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00224"},{"key":"ref26","article-title":"mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang"},{"key":"ref27","first-page":"6438","article-title":"Manifold mixup: Better representations by interpolating hidden states","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Verma"},{"key":"ref28","first-page":"4346","article-title":"On adversarial mixup resynthesis","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Beckham"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref31","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Caron"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref34","article-title":"Improved baselines with momentum contrastive learning","author":"Chen","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref37","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Radford"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_40"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00962"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00032"},{"key":"ref42","first-page":"5297","article-title":"Learning disentangled representation for robust person re-identification","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Eom"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00575"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref45","first-page":"5049","article-title":"MixMatch: A holistic approach to semi-supervised learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Berthelot"},{"key":"ref46","article-title":"ReMixMatch: Semi-supervised learning with distribution matching and augmentation anchoring","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Berthelot"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6123"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00934"},{"key":"ref49","article-title":"AugMix: A simple data processing method to improve robustness and uncertainty","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hendrycks"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58555-6_14"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00242"},{"key":"ref52","article-title":"Multi-task mid-level feature alignment network for unsupervised cross-dataset person re-identification","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Lin"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00225"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00621"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6950"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2976933"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018738"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00345"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01099"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_29"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6921"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.5555\/3001460.3001507"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_52"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00543"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref69","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00482"},{"key":"ref71","first-page":"583","article-title":"Cluster ensembles \u2014 a knowledge reuse framework for combining multiple partitions","author":"Strehl","year":"2002","journal-title":"J. Mach. Learn. Res."},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_11"},{"key":"ref73","article-title":"Deep association learning for unsupervised video person re-identification","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Chen"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_45"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2903058"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.360"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_3"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10120646\/09970293.pdf?arnumber=9970293","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T19:53:10Z","timestamp":1719345190000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9970293\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,1]]},"references-count":77,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3226866","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,1]]}}}