{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T18:52:38Z","timestamp":1767120758041,"version":"3.48.0"},"reference-count":81,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302369"],"award-info":[{"award-number":["62302369"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61991451"],"award-info":[{"award-number":["61991451"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472336"],"award-info":[{"award-number":["62472336"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shaanxi Provincial Technological Innovation Team","award":["2022TD-23"],"award-info":[{"award-number":["2022TD-23"]}]},{"name":"Open Fund of Intelligent Control Laboratory","award":["2024-ZKSYS-KF02-03"],"award-info":[{"award-number":["2024-ZKSYS-KF02-03"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3642612","type":"journal-article","created":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T18:49:42Z","timestamp":1765997382000},"page":"8672-8683","source":"Crossref","is-referenced-by-count":0,"title":["Incomplete Modalities Restoration via Hierarchical Adaptation for Robust Multimodal Segmentation"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0929-2164","authenticated-orcid":false,"given":"Yujia","family":"Sun","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9632-985X","authenticated-orcid":false,"given":"Weisheng","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2938-6798","authenticated-orcid":false,"given":"Peng","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northwestern Polytechnical University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingtao","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4378-8837","authenticated-orcid":false,"given":"Tao","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2067-2763","authenticated-orcid":false,"given":"Xin","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University at Albany, Albany, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2179-3292","authenticated-orcid":false,"given":"Guangming","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00717"},{"key":"ref2","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. Adv. Neural Inf. Process. Sys. (NIPS)","volume":"34","author":"Xie"},{"key":"ref3","article-title":"CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers","author":"Liu","year":"2022","journal-title":"arXiv:2203.04838v5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3300537"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_33"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3056726"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02547"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206396"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.111801"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00116"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3013234"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01846"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01764"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3395035.3425202"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016892"},{"key":"ref17","article-title":"A comprehensive survey on deep multimodal learning with missing modality","author":"Wu","year":"2024","journal-title":"arXiv:2409.07825"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3382507.3418840"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19836-6_20"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611200"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00106"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01184"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i6.28426"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2021.3090458"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CBMI.2018.8516271"},{"key":"ref27","article-title":"Adapter is all you need for tuning visual tasks","author":"Yin","year":"2023","journal-title":"arXiv:2311.15010"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681442"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i6.28423"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3476487"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681683"},{"key":"ref32","article-title":"Efficient multimodal semantic segmentation via dual-prompt learning","author":"Dong","year":"2023","journal-title":"arXiv:2312.00360"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681253"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72754-2_9"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3501077"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3109518"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/technologies10040090"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00266"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3272269"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3069339"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01948-x"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3535617"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103148"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3512365"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.10.034"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02311-4"},{"key":"ref47","article-title":"Learning trimodal relation for avqa with missing modality","author":"Park","year":"2024","journal-title":"arXiv:2407.16171"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01187"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16330"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3052083"},{"key":"ref51","first-page":"2","article-title":"Dropout as a Bayesian approximation: Insights and applications","volume-title":"Proc. ICML","volume":"1","author":"Gal"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00300"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110802"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3287137"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3295929"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3576477"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00575"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295309"},{"key":"ref59","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3374070"},{"key":"ref62","first-page":"109","article-title":"Scaling & shifting your features: A new baseline for efficient model tuning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Lian"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54181-5_14"},{"key":"ref66","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 3rd Int. Conf. Learn. Represent.","author":"Simonyan"},{"key":"ref67","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","volume-title":"Proc. 4th Int. Conf. Learn. Represent.","author":"Yu"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2904733"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636084"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3233089"},{"key":"ref72","article-title":"Variational probabilistic fusion network for RGB-T semantic segmentation","author":"Lin","year":"2023","journal-title":"arXiv:2307.08536"},{"key":"ref73","article-title":"SpiderMesh: Spatial-aware demand-guided recursive meshing for RGB-T semantic segmentation","author":"Fan","year":"2023","journal-title":"arXiv:2303.08692"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2025.3579580"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/SAIN.2018.8673354"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413621"},{"key":"ref78","first-page":"4835","article-title":"Deep multimodal fusion by channel exchanging","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Wang"},{"key":"ref79","article-title":"MMP: Towards robust multi-modal learning with masked modality projection","author":"Nezakati","year":"2024","journal-title":"arXiv:2410.03010"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01918"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/11301930.pdf?arnumber=11301930","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T18:39:46Z","timestamp":1767119986000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11301930\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":81,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3642612","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2025]]}}}