{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:49:40Z","timestamp":1777567780033,"version":"3.51.4"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2021YFB3100800"],"award-info":[{"award-number":["2021YFB3100800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20A20185"],"award-info":[{"award-number":["U20A20185"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972435"],"award-info":[{"award-number":["61972435"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022B1515020103"],"award-info":[{"award-number":["2022B1515020103"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["RCYX20200714114641140"],"award-info":[{"award-number":["RCYX20200714114641140"]}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2019JQ-467"],"award-info":[{"award-number":["2019JQ-467"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tmm.2022.3228169","type":"journal-article","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T18:39:18Z","timestamp":1670611158000},"page":"7786-7799","source":"Crossref","is-referenced-by-count":15,"title":["CVCNet: Learning Cost Volume Compression for Efficient Stereo Matching"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0952-476X","authenticated-orcid":false,"given":"Yulan","family":"Guo","sequence":"first","affiliation":[{"name":"School of Electronics and Communication Engineering, the Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8384-6981","authenticated-orcid":false,"given":"Yun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronics and Communication Engineering, the Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0429-0263","authenticated-orcid":false,"given":"Longguang","family":"Wang","sequence":"additional","affiliation":[{"name":"Aviation University of Air Force, Changchun, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9081-7185","authenticated-orcid":false,"given":"Zi","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, China"}]},{"given":"Chen","family":"Cheng","sequence":"additional","affiliation":[{"name":"Xi&#x0027;an College of Technology, Shaanxi, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2908350"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2229264"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3037537"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2005.846787"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3005434"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/smbv.2001.988771"},{"key":"ref7","first-page":"236","article-title":"Understanding belief propagation and its generalizations","volume":"8","author":"Yedidia","year":"2003","journal-title":"Exploring Artif. Intell. New Millennium"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.428"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1998.710763"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.60"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2825883"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2005.218"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/11585978_40"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2008.4761101"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2009.5414478"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2014.51"},{"issue":"1","key":"ref18","first-page":"2287","article-title":"Stereo matching by training a convolutional neural network to compare image patches","volume":"17","author":"Zbontar","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.614"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.17"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00297"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197031"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00203"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.108"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00567"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00339"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00027"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1017\/ATSIP.2020.16"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3164755"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00448"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794003"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00260"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00257"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01397"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01369"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00625"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_35"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6991"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00909"},{"key":"ref41","article-title":"Wasserstein distances for stereo disparity estimation","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Garg","year":"2020, 2251722529"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00883"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3026899"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.316"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref48","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. IEEE Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01231"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00566"},{"key":"ref51","first-page":"22158","article-title":"Hierarchical neural architecture search for deep stereo matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Cheng","year":"2020"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01413"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00539"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10016790\/09978650.pdf?arnumber=9978650","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:45:21Z","timestamp":1705016721000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9978650\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/tmm.2022.3228169","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}