{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T15:36:40Z","timestamp":1768837000698,"version":"3.49.0"},"reference-count":46,"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":[{"DOI":"10.13039\/501100007310","name":"School Research Projects of Wuyi University","doi-asserted-by":"publisher","award":["2019AL032"],"award-info":[{"award-number":["2019AL032"]}],"id":[{"id":"10.13039\/501100007310","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3076346","type":"journal-article","created":{"date-parts":[[2021,4,28]],"date-time":"2021-04-28T20:05:49Z","timestamp":1619640349000},"page":"67696-67705","source":"Crossref","is-referenced-by-count":12,"title":["Monocular Depth Estimation Based on Multi-Scale Depth Map Fusion"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8939-8590","authenticated-orcid":false,"given":"Xin","family":"Yang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1937-1165","authenticated-orcid":false,"given":"Qingling","family":"Chang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7503-4211","authenticated-orcid":false,"given":"Xinglin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Siyuan","family":"He","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5324-092X","authenticated-orcid":false,"given":"Yan","family":"Cui","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00042"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299152"},{"key":"ref32","article-title":"Learning spatial fusion for single-shot object detection","author":"liu","year":"2019","journal-title":"arXiv 1911 09516"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2020.107766"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460184"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.25"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.365"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2740321"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00037"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_45"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref14","article-title":"High quality monocular depth estimation via transfer learning","author":"alhashim","year":"2018","journal-title":"arXiv 1812 11941"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2836318"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00077"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2821979"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794182"},{"key":"ref28","article-title":"ParseNet: Looking wider to see better","author":"liu","year":"2015","journal-title":"arXiv 1506 04579"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2020.14.COIMG-377"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00116"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2964733"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3025166"},{"key":"ref5","article-title":"Deep feature fusion for self-supervised monocular depth prediction","author":"kaushik","year":"2020","journal-title":"arXiv 2005 07922"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2894651"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref2","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"arXiv 1406 2283"},{"key":"ref9","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/09500340.2014.967321"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.458"},{"key":"ref20","article-title":"Structure-attentioned memory network for monocular depth estimation","author":"zhu","year":"2019","journal-title":"arXiv 1909 04594"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4640-7_8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054657"},{"key":"ref21","article-title":"AdaBins: Depth estimation using adaptive bins","author":"bhat","year":"2020","journal-title":"arXiv 2011 14141"},{"key":"ref42","first-page":"746","article-title":"Indoor segmentation and support inference from RGBD images","author":"silberman","year":"2012","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref24","first-page":"1","article-title":"Attention-based context aggregation network for monocular depth estimation","author":"chen","year":"2021","journal-title":"Int J Mach Learn Cybern"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00181"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3006704"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09417196.pdf?arnumber=9417196","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:52Z","timestamp":1639770952000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9417196\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3076346","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}