{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T16:14:46Z","timestamp":1774109686608,"version":"3.50.1"},"reference-count":46,"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":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62388101"],"award-info":[{"award-number":["62388101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62473288"],"award-info":[{"award-number":["62473288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62233013"],"award-info":[{"award-number":["62233013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIO University Program"},{"name":"Xiaomi Young Talents Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/lsp.2025.3575640","type":"journal-article","created":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T14:05:24Z","timestamp":1748873124000},"page":"2549-2553","source":"Crossref","is-referenced-by-count":8,"title":["DepthMatch: Semi-Supervised RGB-D Scene Parsing Through Depth-Guided Regularization"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6558-9589","authenticated-orcid":false,"given":"Jianxin","family":"Huang","sequence":"first","affiliation":[{"name":"College of Electronics &amp; Information Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8379-249X","authenticated-orcid":false,"given":"Jiahang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Electronics &amp; Information Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergey","family":"Vityazev","sequence":"additional","affiliation":[{"name":"Ryazan State Radio Engineering University, Ryazan, Russian Federation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1190-3582","authenticated-orcid":false,"given":"Alexander","family":"Dvorkovich","sequence":"additional","affiliation":[{"name":"Multimedia Technology and Telecom Department, Telecommunications Center, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2593-6596","authenticated-orcid":false,"given":"Rui","family":"Fan","sequence":"additional","affiliation":[{"name":"College of Electronics &amp; Information Engineering, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3378120"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58577-8_21"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2024.3357056"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3545498"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2947206"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2933750"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3448251"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3086618"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3508058"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54181-5_14"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3388726"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS58592.2024.10801872"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3387949"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3528453"},{"key":"ref16","article-title":"Semi-supervised semantic segmentation needs strong, high-dimensional perturbations","author":"French","year":"2019"},{"key":"ref17","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00699"},{"key":"ref20","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Sohn","year":"2020"},{"key":"ref21","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2023","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01196"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3475352"},{"key":"ref24","first-page":"2024","article-title":"DFormer: Rethinking RGBD representation learning for semantic segmentation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Bowen"},{"key":"ref25","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Tarvainen","year":"2017"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3174338"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3537281"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00698"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611200"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01188-y"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20139"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3290519"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110723"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00455"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1070-x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3467287"},{"key":"ref37","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Loshchilov","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803025"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3300537"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/WACV61041.2025.00176"},{"key":"ref42","first-page":"21753","article-title":"Geminifusion: Efficient pixel-wise multimodal fusion for vision transformer","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Jia","year":"2024"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00906"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3122293"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01521"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10802935\/11020785.pdf?arnumber=11020785","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T04:38:04Z","timestamp":1754368684000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11020785\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3575640","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}