{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T17:35:48Z","timestamp":1782927348205,"version":"3.54.5"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"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":["62425603"],"award-info":[{"award-number":["62425603"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005145","name":"Basic Research Program of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20240011"],"award-info":[{"award-number":["BK20240011"]}],"id":[{"id":"10.13039\/501100005145","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tcsvt.2025.3602391","type":"journal-article","created":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T20:49:14Z","timestamp":1756154954000},"page":"2464-2477","source":"Crossref","is-referenced-by-count":2,"title":["URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3125-054X","authenticated-orcid":false,"given":"Wei","family":"Luo","sequence":"first","affiliation":[{"name":"Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2307-5393","authenticated-orcid":false,"given":"Peng","family":"Xing","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7619-6618","authenticated-orcid":false,"given":"Yunkang","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, Hunan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1419-5489","authenticated-orcid":false,"given":"Haiming","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Precision Instrument, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5204-7992","authenticated-orcid":false,"given":"Weiming","family":"Shen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5341-5985","authenticated-orcid":false,"given":"Zechao","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00822"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00179"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00982"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3314801"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3479887"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3250225"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3196436"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00865"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027308"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00678"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3205348"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3148392"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2958826"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3039798"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3211839"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3237562"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3142326"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3523574"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3241579"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3344383"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00954"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107706"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3268658"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3420775"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3327448"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00032"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06430-2_33"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00867"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.11.018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE45552.2021.9576231"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.02.010"},{"key":"ref33","first-page":"4393","article-title":"Deep one-class classification","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ruff"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69544-6_23"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3094452"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3182385"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01392"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3413322"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.12.008"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2024.3368142"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00626"},{"key":"ref43","first-page":"1613","article-title":"Weight uncertainty in neural network","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Blundell"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00064"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00411"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3073564"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548082"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/325165.325247"},{"key":"ref51","article-title":"Bayesian SegNet: Model uncertainty in deep convolutional encoder\u2013decoder architectures for scene understanding","author":"Kendall","year":"2015","journal-title":"arXiv:1511.02680"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109897"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3107586"},{"key":"ref55","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017","journal-title":"arXiv:1711.05101"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68799-1_35"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3390806"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3293772"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00951"},{"key":"ref61","article-title":"FastFlow: Unsupervised anomaly detection and localization via 2D normalizing flows","author":"Yu","year":"2021","journal-title":"arXiv:2111.07677"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01466"},{"key":"ref63","article-title":"Improving unsupervised defect segmentation by applying structural similarity to autoencoders","author":"Bergmann","year":"2018","journal-title":"arXiv:1807.02011"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20893-6_39"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.010"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3093883"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3118223"},{"key":"ref68","article-title":"SSD: A unified framework for self-supervised outlier detection","author":"Sehwag","year":"2021","journal-title":"arXiv:2103.12051"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.5244\/c.35.349"},{"key":"ref70","article-title":"Ae-flow: Autoencoders with normalizing flows for medical images anomaly detection","volume-title":"Proc. The 11th Int. Conf. Learn. Represent.","author":"Zhao"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/76\/11392768\/11137387.pdf?arnumber=11137387","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T21:02:44Z","timestamp":1770930164000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11137387\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":70,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2025.3602391","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}