{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T12:05:05Z","timestamp":1759147505325,"version":"3.37.3"},"reference-count":38,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2018YFB0204301"],"award-info":[{"award-number":["2018YFB0204301"]}]},{"DOI":"10.13039\/501100001809","name":"General Program of National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81973244"],"award-info":[{"award-number":["81973244"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program Projects of Shenzhen","award":["JCYJ20170818110101726"],"award-info":[{"award-number":["JCYJ20170818110101726"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3050540","type":"journal-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T01:59:41Z","timestamp":1610503181000},"page":"19651-19658","source":"Crossref","is-referenced-by-count":6,"title":["Bidirectional Stereo Matching Network With Double Cost Volumes"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8068-3635","authenticated-orcid":false,"given":"Xiaogang","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7514-4250","authenticated-orcid":false,"given":"Zhengfa","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_49"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00758"},{"key":"ref32","article-title":"An overview of multi-task learning in deep neural networks","author":"ruder","year":"2017","journal-title":"ArXiv 1706 05098"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01206"},{"key":"ref30","first-page":"596","article-title":"StereoNet: Guided hierarchical refinement for real-time edge-aware depth prediction","author":"khamis","year":"2018","journal-title":"Proc ECCV"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803514"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093273"},{"key":"ref35","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","first-page":"305","article-title":"Fast census transform-based stereo algorithm using sse2","author":"balk","year":"2006","journal-title":"Proceedings of Korea-Japan Joint Workshop on Frontiers of Computer Vision"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2020.103913"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1999.757552"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/34.677269"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01367"},{"key":"ref15","first-page":"7","article-title":"A taxonomy and evaluation of dense two-frame stereo correspondence algorithms","author":"scharstein","year":"2002","journal-title":"Proc IEEE Workshop Stereo Multi-Baseline Vis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01287-w"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6991"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"ref4","article-title":"Amnet: Deep atrous multiscale stereo disparity estimation networks","author":"du","year":"2020","journal-title":"arXiv 1904 09099"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref3","first-page":"1334","article-title":"Upgrading optical flow to 3D scene flow through optical expansion","author":"yang","year":"2020","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.1995.525868"},{"key":"ref29","first-page":"1","article-title":"Deformable kernels: Adapting effective receptive fields for object deformation","author":"gao","year":"2020","journal-title":"Int Conf on Learning Representations"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00339"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISM.2012.46"},{"key":"ref7","first-page":"1033","article-title":"Visual correspondence using energy minimization and mutual information","author":"kim","year":"2003","journal-title":"Proc 9th IEEE Int Conf Comput Vis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00027"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIG.2013.113"},{"key":"ref1","first-page":"103","article-title":"Depth estimation via affinity learned with convolutional spatial propagation network","author":"cheng","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00203"},{"key":"ref23","first-page":"1","article-title":"Stereo matching by training a convolutional neural network to compare image patches","volume":"17","author":"\u017ebontar","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref26","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00567"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09319143.pdf?arnumber=9319143","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T12:21:56Z","timestamp":1643286116000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9319143\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3050540","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}