{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T19:13:21Z","timestamp":1768072401766,"version":"3.49.0"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"ERC","award":["637076"],"award-info":[{"award-number":["637076"]}]},{"name":"ERC","award":["853489-DEXIM"],"award-info":[{"award-number":["853489-DEXIM"]}]},{"name":"DFG","award":["2064\/1-390727645"],"award-info":[{"award-number":["2064\/1-390727645"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,12,1]]},"DOI":"10.1109\/tpami.2021.3133954","type":"journal-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T21:13:23Z","timestamp":1639084403000},"page":"10099-10113","source":"Crossref","is-referenced-by-count":11,"title":["Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7077-697X","authenticated-orcid":false,"given":"Fabio","family":"Cermelli","sequence":"first","affiliation":[{"name":"DAUIN Department of Control and Computer Engineering of Politecnico di Torino, Torino, TO, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8595-9955","authenticated-orcid":false,"given":"Massimiliano","family":"Mancini","sequence":"additional","affiliation":[{"name":"Cluster of Excellence ”Machine Learning”, University of Tübingen, Tübingen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuel Rota","family":"Bulo","sequence":"additional","affiliation":[{"name":"Facebook, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0228-1147","authenticated-orcid":false,"given":"Elisa","family":"Ricci","sequence":"additional","affiliation":[{"name":"Fondazione Bruno Kessler, Povo, TN, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara","family":"Caputo","sequence":"additional","affiliation":[{"name":"DAUIN Department of Control and Computer Engineering of Politecnico di Torino, Torino, TO, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Progressive neural networks","author":"rusu","year":"2016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_5"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01158"},{"key":"ref31","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":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00528"},{"key":"ref35","first-page":"3987","article-title":"Continual learning through synaptic intelligence","author":"zenke","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_33"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.49"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_31"},{"key":"ref61","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1145\/1015706.1015720","volume":"23","author":"rother","year":"2004","journal-title":"ACM Trans Graph"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/508"},{"key":"ref28","article-title":"Continual learning: A comparative study on how to defy forgetting in classification tasks","volume":"2","author":"de lange","year":"2019"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00400"},{"key":"ref65","first-page":"5639","article-title":"In-place activated BatchNorm for memory-optimized training of DNNs","author":"rota bul","year":"2018","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref29","first-page":"2994","article-title":"Continual learning with deep generative replay","author":"shin","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref68","first-page":"109","article-title":"Efficient inference in fully connected CRFs with gaussian edge potentials","volume":"24","author":"kr\u00e4henb\u00fchl","year":"2011","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00845"},{"key":"ref2","article-title":"The PASCAL visual object classes challenge 2012 (VOC2012) results","author":"everingham","year":"2012"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018843"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00925"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_42"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_32"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2925416"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-019-01984-4"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00195"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.535"},{"key":"ref59","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/34.295913"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00901"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00431"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00231"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00523"},{"key":"ref10","first-page":"3640","article-title":"Attention to scale: Scale-aware semantic image segmentation","author":"chen","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_42"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00046"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_34"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2773081"},{"key":"ref16","first-page":"233","article-title":"End-to-end incremental learning","author":"castro","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref17","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"ref4","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref8","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_17"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.181"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_21"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00733"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.203"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_43"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_9"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00541"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.368"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9940445\/09645239.pdf?arnumber=9645239","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T22:37:35Z","timestamp":1670279855000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9645239\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":69,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3133954","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":[[2022,12,1]]}}}