{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T16:25:02Z","timestamp":1778171102912,"version":"3.51.4"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Marie Skłodowska-Curie Postdoctoral Individual Fellowship","award":["101154277"],"award-info":[{"award-number":["101154277"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202137"],"award-info":[{"award-number":["62202137"]}],"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":["62176183"],"award-info":[{"award-number":["62176183"]}],"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":["62306097"],"award-info":[{"award-number":["62306097"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LMS25F020009"],"award-info":[{"award-number":["LMS25F020009"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1109\/tetci.2025.3543272","type":"journal-article","created":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T13:47:23Z","timestamp":1741614443000},"page":"2308-2320","source":"Crossref","is-referenced-by-count":4,"title":["Dual-Branch Semantic Enhancement Network Joint With Iterative Self-Matching Training Strategy for Semi-Supervised Semantic Segmentation"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1969-8616","authenticated-orcid":false,"given":"Feng","family":"Xiao","sequence":"first","affiliation":[{"name":"Tianjin University of Technology, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2130-9122","authenticated-orcid":false,"given":"Ruyu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4724-5748","authenticated-orcid":false,"given":"Xu","family":"Cheng","sequence":"additional","affiliation":[{"name":"Tianjin University of Technology, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7844-6035","authenticated-orcid":false,"given":"Jianhua","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tianjin University of Technology, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1100-0631","authenticated-orcid":false,"given":"Yaochu","family":"Jin","sequence":"additional","affiliation":[{"name":"Westlake University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2021.3115666"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00052"},{"key":"ref3","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681286"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2023.3301337"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2019.2952908"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3141107"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9897774"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3083269"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref11","first-page":"529","article-title":"Semi-supervised learning by entropy minimization","volume-title":"Proc. 18th Int. Conf. Neural Inf. Process. Syst.","author":"Grandvalet","year":"2004"},{"key":"ref12","first-page":"6256","article-title":"Unsupervised data augmentation for consistency training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Xie","year":"2020"},{"key":"ref13","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":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00423"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3155746"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00421"},{"key":"ref17","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. 26th Int. Conf. Neural Inf. Process. Syst.","author":"Krizhevsky","year":"2012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161549"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3155925"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2025.3556928"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2023.2257399"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2903562"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref26","article-title":"Rethinking Atrous convolution for semantic image segmentation","author":"Chen","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3430031"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3357496"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1071\/wf23044"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2024.109181"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2999924"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_17"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3065112"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17206"},{"key":"ref40","article-title":"Semi-supervised semantic segmentation needs strong, high-dimensional perturbations","volume-title":"Proc. Brit. Mach. Vis. Conf.","volume":"31","author":"French","year":"2020"},{"key":"ref41","article-title":"Structured consistency loss for semi-supervised semantic segmentation","author":"Kim","year":"2020"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2960224"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.606"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2024.3451718"},{"key":"ref45","first-page":"2234","article-title":"Improved techniques for training GANs","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Salimans","year":"2016"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2647904"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00811"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00264"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00685"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2927224"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2877127"},{"key":"ref52","article-title":"Pseudoseg: Designing pseudo labels for semantic segmentation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zou","year":"2020"},{"key":"ref53","first-page":"3833","article-title":"Rethinking pre-training and self-training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Zoph","year":"2020"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00433"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01071"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00156"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2772836"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.5220\/0007345600002108"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20108"},{"key":"ref60","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":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01269"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_26"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00126"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00972"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref66","first-page":"15288","article-title":"Calibrating deep neural networks using focal loss","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Mukhoti","year":"2020"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00141"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00422"},{"key":"ref69","first-page":"22106","article-title":"Semi-supervised semantic segmentation via adaptive equalization learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Hu","year":"2021"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3233584"},{"key":"ref71","first-page":"26007","article-title":"Semi-supervised semantic segmentation with prototype-based consistency regularization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Xu","year":"2022"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00718"},{"key":"ref73","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7433297\/11016134\/10918799.pdf?arnumber=10918799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,26]],"date-time":"2025-11-26T19:06:00Z","timestamp":1764183960000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10918799\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":73,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2025.3543272","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6]]}}}