{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:33:58Z","timestamp":1776094438023,"version":"3.50.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Federal Ministry of Labor and Social Affairs (BMAS) through the AccessibleMaps project","award":["01KM151112"],"award-info":[{"award-number":["01KM151112"]}]},{"name":"University of Excellence through the \u201cKIT Future Fields\u201d"},{"DOI":"10.13039\/100009133","name":"KIT-Publication Fund of the Karlsruhe Institute of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009133","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hangzhou SurImage Technology Company Ltd."},{"name":"Hangzhou KrVision Technology Company Ltd."}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tip.2020.3048682","type":"journal-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T19:46:56Z","timestamp":1610567216000},"page":"1866-1881","source":"Crossref","is-referenced-by-count":49,"title":["Is Context-Aware CNN Ready for the Surroundings? Panoramic Semantic Segmentation in the Wild"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1090-667X","authenticated-orcid":false,"given":"Kailun","family":"Yang","sequence":"first","affiliation":[]},{"given":"Xinxin","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Rainer","family":"Stiefelhagen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"12599","article-title":"In defense of pre-trained ImageNet architectures for real-time semantic segmentation of road-driving images","author":"or\u0161ic","year":"2019","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3042065"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2750080"},{"key":"ref32","first-page":"7","article-title":"Speeding up semantic segmentation for autonomous driving","volume":"2","author":"treml","year":"2016","journal-title":"Proc MLITS NIPS Workshop"},{"key":"ref31","article-title":"ENet: A deep neural network architecture for real-time semantic segmentation","author":"paszke","year":"2016","journal-title":"ArXiv 1606 02147"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3013142"},{"key":"ref37","first-page":"325","article-title":"BiseNet: Bilateral segmentation network for real-time semantic segmentation","author":"yu","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3338533.3366558"},{"key":"ref35","first-page":"552","article-title":"EspNet: Efficient spatial pyramid of dilated convolutions for semantic segmentation","author":"mehta","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305148"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_25"},{"key":"ref62","article-title":"ISSAFE: Improving semantic segmentation in accidents by fusing event-based data","author":"zhang","year":"2020","journal-title":"arXiv 2008 08974"},{"key":"ref61","article-title":"Rainy night scene understanding with near scene semantic adaptation","author":"di","year":"2020","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.119"},{"key":"ref28","article-title":"OCNet: Object context network for scene parsing","author":"yuan","year":"2018","journal-title":"arXiv 1809 00916"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/157847"},{"key":"ref27","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref66","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500506"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref21","first-page":"421","article-title":"Concurrent spatial and channel &#x2018;squeeze & excitation&#x2019; in fully convolutional networks","author":"roy","year":"2018","journal-title":"Proc Int Conf Med Image Comput -Assist Intervent"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803025"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00747"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00747"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.327"},{"key":"ref59","article-title":"Improving semantic segmentation via self-training","author":"zhu","year":"2020","journal-title":"arXiv 2004 14960"},{"key":"ref58","first-page":"695","article-title":"Naive-student: Leveraging semi-supervised learning in video sequences for urban scene segmentation","author":"chen","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01103"},{"key":"ref56","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015","journal-title":"ArXiv 1503 02531"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814042"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00271"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00190"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00940"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995725"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00254"},{"key":"ref16","first-page":"405","article-title":"ICNet for real-time semantic segmentation on high-resolution images","author":"zhao","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2962685"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00406"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00692"},{"key":"ref4","first-page":"186","article-title":"Ds-pass: Detail-sensitive panoramic annular semantic segmentation through swaftnet for surrounding sensing","author":"yang","year":"2020","journal-title":"Proc IEEE Intell Vehicles Symp (IV)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.534"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00433"},{"key":"ref7","first-page":"9373","article-title":"Cars can&#x2019;t fly up in the sky: Improving urban-scene segmentation via height-driven attention networks","author":"choi","year":"2020","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813888"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2938965"},{"key":"ref46","first-page":"31","article-title":"Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression","author":"budvytis","year":"2019","journal-title":"Proc Brit Mach Vis Conf (BMVC)"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00363"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197144"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1117\/12.2532494"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317846"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2891027"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500553"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500397"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9263394\/09321183.pdf?arnumber=9321183","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:05Z","timestamp":1652194205000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9321183\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/tip.2020.3048682","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}