{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:26:37Z","timestamp":1777490797070,"version":"3.51.4"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":"crossref","award":["62171294"],"award-info":[{"award-number":["62171294"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62101344"],"award-info":[{"award-number":["62101344"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62372302"],"award-info":[{"award-number":["62372302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Foundation of Guangdong Province, China","award":["2022A1515010159"],"award-info":[{"award-number":["2022A1515010159"]}]},{"name":"Key project of Shenzhen Science and Technology Plan","award":["20220810180617001"],"award-info":[{"award-number":["20220810180617001"]}]},{"name":"Key project of Shenzhen Science and Technology Plan","award":["JCYJ20200109105832261"],"award-info":[{"award-number":["JCYJ20200109105832261"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tmm.2024.3406146","type":"journal-article","created":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T18:12:50Z","timestamp":1716919970000},"page":"10306-10317","source":"Crossref","is-referenced-by-count":3,"title":["\u201cWhere Does the Devil Lie?\u201d: Multimodal Multitask Collaborative Revision Network for Trusted Road Segmentation"],"prefix":"10.1109","volume":"26","author":[{"given":"Guoguang","family":"Hua","sequence":"first","affiliation":[{"name":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dalian","family":"Zheng","sequence":"additional","affiliation":[{"name":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7616-8382","authenticated-orcid":false,"given":"Shishun","family":"Tian","sequence":"additional","affiliation":[{"name":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1389-9089","authenticated-orcid":false,"given":"Wenbin","family":"Zou","sequence":"additional","affiliation":[{"name":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3823-4200","authenticated-orcid":false,"given":"Shenglan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8043-9966","authenticated-orcid":false,"given":"Xia","family":"Li","sequence":"additional","affiliation":[{"name":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2972974"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3093771"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3038323"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2994027"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aaw6661"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00756"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3260240"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561935"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58577-8_21"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3064089"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_29"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70087-8_70"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812452"},{"key":"ref14","first-page":"419","article-title":"Roadway detection using convolutional neural network through camera and LiDAR data","volume-title":"Proc. Inter. Conf. Hybrid Artif. Intell. Syst","author":"Bayn","year":"2022"},{"key":"ref15","first-page":"1","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hendrycks","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295309"},{"key":"ref17","first-page":"2898","article-title":"Addressing failure prediction by learning model confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Corbire","year":"2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2018.7511063"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2008.4621152"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2406171"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5772\/63561"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2010.5548086"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500504"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2749964"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6837"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00116"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2018.2843170"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2018.11.002"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00533"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2013.6728473"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref33","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Conf. Mach. Learn","author":"Tan","year":"2019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref35","first-page":"4885","article-title":"Selective classification for deep neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Geifman","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295387"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC45102.2020.9294308"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5529-2_5"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3241802"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2022.3230330"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911459"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341340"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636723"},{"key":"ref47","volume-title":"Subjective Logic: A Formalism for Reasoning Under Uncertainty","author":"Audun","year":"2016"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2932874"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968054"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793585"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.04.048"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2871945"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00477"},{"key":"ref54","first-page":"1137","article-title":"Complex ground plane detection based on V-disparity map in off-road environment","volume-title":"Proc. IEEE Intell. Veh. Symp.","author":"Dai","year":"2013"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54181-5_14"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_9"},{"key":"ref57","first-page":"1","article-title":"SGDR: Stochastic gradient descent with restarts","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Loshchilov","year":"2016"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3171983"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3272369"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3146305"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref62","first-page":"31360","article-title":"GMMSeg: Gaussian mixture based generative semantic segmentation models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liang","year":"2022"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10384483\/10540258.pdf?arnumber=10540258","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T04:36:16Z","timestamp":1729226176000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10540258\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/tmm.2024.3406146","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}