{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T09:26:34Z","timestamp":1785403594043,"version":"3.56.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Fundamental Research Funds for Central Universities"},{"name":"Xiaomi Young Talents Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tits.2024.3398037","type":"journal-article","created":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T17:32:14Z","timestamp":1716226334000},"page":"13926-13936","source":"Crossref","is-referenced-by-count":36,"title":["UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image Restoration"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7107-6577","authenticated-orcid":false,"given":"Nachuan","family":"Ma","sequence":"first","affiliation":[{"name":"College of Electronics and Information Engineering, Shanghai Research Institute for Intelligent Autonomous Systems, the State Key Laboratory of Intelligent Autonomous Systems, and the Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2593-6596","authenticated-orcid":false,"given":"Rui","family":"Fan","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Shanghai Research Institute for Intelligent Autonomous Systems, the State Key Laboratory of Intelligent Autonomous Systems, and the Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7137-4136","authenticated-orcid":false,"given":"Lihua","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878966"},{"key":"ref2","article-title":"Distress identification manual for the long-term pavement performance program","author":"Miller","year":"2003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.01.036"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2808770"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/tse\/tdac026"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3388726"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2947206"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2933750"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3112316"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3060461"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-015-0682-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/861701"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/tee.20244"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.13176\/11.167"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/1.2172917"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2477675"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814000"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3351209"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IST50367.2021.9651375"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12334"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/10298436.2020.1714047"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.11.028"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/stc.2551"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3106647"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2020.100144"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12622"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12909"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1111\/mice.13103"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2006.313007"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025158"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.09.315"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5573590"},{"key":"ref34","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref36","article-title":"RHA-net: An encoder\u2013decoder network with residual blocks and hybrid attention mechanisms for pavement crack segmentation","author":"Zhu","year":"2022","journal-title":"arXiv:2207.14166"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3158670"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2018.2886031"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.11.018"},{"key":"ref41","first-page":"1","article-title":"Iterative energy-based projection on a normal data manifold for anomaly localization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dehaene"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1177\/0040517520966733"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.01.010"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00356"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3046884"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16420"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107706"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710815"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2293423"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2910595"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2552248"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref57","article-title":"ENet: A deep neural network architecture for real-time semantic segmentation","author":"Paszke","year":"2016","journal-title":"arXiv:1606.02147"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_26"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01515-2"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3228042"},{"key":"ref63","article-title":"Lawin transformer: Improving semantic segmentation transformer with multi-scale representations via large window attention","author":"Yan","year":"2022","journal-title":"arXiv:2201.01615"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10705407\/10535044.pdf?arnumber=10535044","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T02:48:05Z","timestamp":1733885285000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10535044\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":63,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2024.3398037","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}