{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T12:12:10Z","timestamp":1784117530097,"version":"3.55.0"},"reference-count":91,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,11,1]]},"DOI":"10.1109\/tpami.2023.3297058","type":"journal-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T20:30:03Z","timestamp":1689798603000},"page":"13567-13585","source":"Crossref","is-referenced-by-count":62,"title":["A Memorizing and Generalizing Framework for Lifelong Person Re-Identification"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2179-8301","authenticated-orcid":false,"given":"Nan","family":"Pu","sequence":"first","affiliation":[{"name":"Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8202-0544","authenticated-orcid":false,"given":"Zhun","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Nottingham, Nottingham, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6597-7248","authenticated-orcid":false,"given":"Nicu","family":"Sebe","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2067-9175","authenticated-orcid":false,"given":"Michael S.","family":"Lew","sequence":"additional","affiliation":[{"name":"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, EZ, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"ref57","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.405"},{"key":"ref56","first-page":"1","article-title":"On the exploration of incremental learning for fine-grained image retrieval","author":"chen","year":"2020","journal-title":"Proc Brit Mach Vis Conf"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref59","first-page":"2659","article-title":"Out of the box: Reasoning with graph convolution nets for factual visual question answering","author":"narasimhan","year":"2018","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0079-7421(08)60536-8","article-title":"Catastrophic interference in connectionist networks: The sequential learning problem","author":"mccloskey","year":"1989","journal-title":"Psychology of Learning and Motivation"},{"key":"ref58","first-page":"1","article-title":"Graph attention networks","author":"velickovic","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref53","article-title":"The caltech-UCSD birds-200–2011 dataset","author":"wah","year":"2011"},{"key":"ref52","article-title":"Core50: A new dataset and benchmark for continuous object recognition","author":"lomonaco","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00304"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00321"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.27"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref16","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1523\/ENEURO.0122-19.2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00124"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref50","article-title":"Lifelong learning with dynamically expandable networks","author":"yoon","year":"2017"},{"key":"ref91","first-page":"950","article-title":"Fast differentiable sorting and ranking","author":"blondel","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref46","first-page":"10","article-title":"State abstractions for lifelong reinforcement learning","author":"abel","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref45","first-page":"5966","article-title":"Memory replay GANs: Learning to generate new categories without forgetting","author":"wu","year":"2018","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.103"},{"key":"ref48","first-page":"7647","article-title":"Continual unsupervised representation learning","author":"rao","year":"2019","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref47","first-page":"2497","article-title":"Continual reinforcement learning with complex synapses","author":"kaplanis","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref42","article-title":"Selfless sequential learning","author":"aljundi","year":"2018"},{"key":"ref86","first-page":"1","article-title":"Associating groups of people","author":"wei-shi","year":"2009","journal-title":"Proc Brit Mach Vis Conf"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-010-0347-5"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.368"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.461"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_15"},{"key":"ref87","first-page":"31","article-title":"Human reidentification with transferred metric learning","author":"li","year":"2012","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/77"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2960509"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413673"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00081"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3024900"},{"key":"ref3","first-page":"526","article-title":"Unsupervised domain adaptation with noise resistible mutual-training for person re-identification","author":"zhao","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2954313"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929036"},{"key":"ref82","first-page":"3415","article-title":"End-to-end deep learning for person search","author":"xiao","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref81","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref40","first-page":"991","article-title":"A Pac-Bayesian bound for lifelong learning","author":"pentina","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21227-7_9"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_21"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00116-6"},{"key":"ref35","article-title":"DeepChange: A large long-term person re-identification benchmark with clothes change","author":"xu","year":"2021"},{"key":"ref79","article-title":"Meta-learning in neural networks: A survey","author":"hospedales","year":"2020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.03.015"},{"key":"ref78","doi-asserted-by":"crossref","first-page":"3521","DOI":"10.1073\/pnas.1611835114","article-title":"Overcoming catastrophic forgetting in neural networks","volume":"114","author":"kirkpatrick","year":"2017","journal-title":"Proc Nat Acad Sci USA"},{"key":"ref37","article-title":"Unsupervised long-term person re-identification with clothes change","author":"li","year":"2022"},{"key":"ref36","article-title":"MaskCL: Semantic mask-driven contrastive learning for unsupervised person re-identification with clothes change","author":"li","year":"2023"},{"key":"ref31","first-page":"2723","article-title":"Learning to adapt invariance in memory for person re-identification","volume":"43","author":"zhong","year":"2021","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref75","first-page":"3835","article-title":"Graph matching networks for learning the similarity of graph structured objects","author":"li","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00902"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00621"},{"key":"ref77","article-title":"Deep learning using rectified linear units (RELU)","author":"agarap","year":"2018"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018738"},{"key":"ref76","article-title":"Neural message passing for quantum chemistry","author":"gilmer","year":"2017"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1109\/TPAMI.2018.2807450","article-title":"A systematic evaluation and benchmark for person re-identification: Features, metrics, and datasets","volume":"41","author":"gou","year":"2019","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref1","article-title":"Person re-identification: Past, present and future","author":"zheng","year":"2016"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00113"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00346"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00409"},{"key":"ref70","article-title":"Like what you like: Knowledge distill via neuron selectivity transfer","author":"huang","year":"2017"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3073279"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00145"},{"key":"ref24","first-page":"5056","article-title":"Learning generalisable omni-scale representations for person re-identification","volume":"44","author":"zhou","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2307\/1422689"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01287"},{"key":"ref26","first-page":"8450","article-title":"Foreground-aware pyramid reconstruction for alignment-free occluded person re-identification","author":"he","year":"2019","journal-title":"Proc Int Conf Comput Vis"},{"key":"ref25","first-page":"480","article-title":"Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)","author":"sun","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-1190"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2018.01.019"},{"key":"ref64","first-page":"3366","article-title":"A continual learning survey: Defying forgetting in classification tasks","volume":"44","author":"delange","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00335"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00285"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00781"},{"key":"ref65","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015"},{"key":"ref28","article-title":"In defense of the triplet loss for person re-identification","author":"hermans","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240674"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.360"},{"key":"ref60","first-page":"684","article-title":"Exploring visual relationship for image captioning","author":"yao","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240621"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00202"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10269680\/10187687.pdf?arnumber=10187687","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T17:45:07Z","timestamp":1696527907000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10187687\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,1]]},"references-count":91,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2023.3297058","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":[[2023,11,1]]}}}