{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T19:00:33Z","timestamp":1764961233685,"version":"3.46.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"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":["U2441242","62172032"],"award-info":[{"award-number":["U2441242","62172032"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tits.2025.3612466","type":"journal-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T17:55:01Z","timestamp":1759168501000},"page":"21745-21757","source":"Crossref","is-referenced-by-count":0,"title":["Advancing Real-World Parking Slot Detection With Large-Scale Dataset and Semi-Supervised Baseline"],"prefix":"10.1109","volume":"26","author":[{"given":"Zhihao","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2847-0349","authenticated-orcid":false,"given":"Chunyu","family":"Lin","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7776-889X","authenticated-orcid":false,"given":"Lang","family":"Nie","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8581-9554","authenticated-orcid":false,"given":"Yao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2006.1689613"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2009.2034860"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/11815921_42"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2012.6338615"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2855183"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2272100"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2857407"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00045"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3064270"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3315738"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3024668"},{"key":"ref12","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tarvainen"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00422"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s23156869"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813777"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/s20072138"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2020.00046"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3046039"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s22176672"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV57592.2022.10004223"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA54703.2022.10005941"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3284973"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10094990"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2023.3276592"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500553"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794476"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-018-0986-z"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE46568.2020.9043164"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304688"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/BDAI56143.2022.9862655"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/rs14163874"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP63557.2024.10793025"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3406840"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1049\/icp.2024.3273"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IV55156.2024.10588736"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3410185"},{"key":"ref39","first-page":"5049","article-title":"MixMatch: A holistic approach to semi-supervised learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Berthelot"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207304"},{"key":"ref41","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sohn"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1137\/0330046"},{"key":"ref43","article-title":"Temporal ensembling for semi-supervised learning","author":"Laine","year":"2016","journal-title":"arXiv:1610.02242"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858821"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref46","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11278554\/11184683.pdf?arnumber=11184683","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:41:22Z","timestamp":1764960082000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11184683\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":46,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3612466","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}