{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T22:02:33Z","timestamp":1770847353994,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006489","name":"Commissariat ? l'?nergie Atomique et aux ?nergies Alternatives","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006489","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018709","name":"European Defence Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018709","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3659526","type":"journal-article","created":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T21:04:29Z","timestamp":1769807069000},"page":"19825-19840","source":"Crossref","is-referenced-by-count":0,"title":["TILES: Transformer-Based Incremental Learning for Expanding Segmenter"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0237-5001","authenticated-orcid":false,"given":"Hejer","family":"Ammar","sequence":"first","affiliation":[{"name":"CEA, List, Universit&#x00E9; Paris-Saclay, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7410-926X","authenticated-orcid":false,"given":"Saad","family":"Lahlali","sequence":"additional","affiliation":[{"name":"CEA, List, Universit&#x00E9; Paris-Saclay, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4757-2052","authenticated-orcid":false,"given":"Romaric","family":"Audigier","sequence":"additional","affiliation":[{"name":"CEA, List, Universit&#x00E9; Paris-Saclay, Palaiseau, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/s0079-7421(08)60536-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00907"},{"key":"ref4","first-page":"1","article-title":"An image is worth 16$\\times$\n16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00925"},{"key":"ref6","article-title":"Rethinking Atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706. 05587"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00084"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73347-5_11"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00697"},{"key":"ref10","first-page":"7242","article-title":"Segmenter: Transformer for semantic segmentation","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis. (ICCV)","author":"Strudel"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"issue":"2","key":"ref12","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","article-title":"The Pascal visual object classes (VOC) challenge","volume":"88","author":"Everingham","year":"2010","journal-title":"Int. J. Comput. Vis."},{"issue":"3","key":"ref13","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1007\/s11263-018-1140-0","article-title":"Semantic understanding of scenes through the ADE20K dataset","volume":"127","author":"Zhou","year":"2019","journal-title":"Int. J. Comput. Vis."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref15","first-page":"6467","article-title":"Gradient episodic memory for continual learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"L\u00f3pez-Paz"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341460"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3594040"},{"key":"ref18","first-page":"10744","article-title":"Continual learning with deep generative replay","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Shin"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00121"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00694"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00303"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref23","first-page":"3420","article-title":"Incremental learning of object detectors without catastrophic forgetting","volume-title":"Proc. IEEE Int. Conf. Comput. Vis. (ICCV)","author":"Shmelkov"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01636"},{"key":"ref25","first-page":"4039","article-title":"PLOP: Learning without forgetting for continual semantic segmentation","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Douillard"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00117"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3163806"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00692"},{"key":"ref29","first-page":"24340","article-title":"Mining unseen classes via regional objectness: A simple baseline for incremental segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19830-4_4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72943-0_10"},{"key":"ref32","first-page":"770","article-title":"Deep residual learning for image recognition","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"He"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00294"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00322"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02739"},{"key":"ref37","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford"},{"key":"ref38","first-page":"9630","article-title":"Emerging properties in self-supervised vision transformers","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis. (ICCV)","author":"Caron"},{"key":"ref39","article-title":"Technical report for ICCV 2021 challenge SSLAD-Track3B: Transformers are better continual learners","volume-title":"arXiv:2201.04924","author":"Li","year":"2022"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3072041"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00969"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11368762.pdf?arnumber=11368762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:56:48Z","timestamp":1770843408000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11368762\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3659526","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}