{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T05:17:32Z","timestamp":1770527852550,"version":"3.49.0"},"reference-count":20,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Intell. Syst."],"published-print":{"date-parts":[[2021,7,1]]},"DOI":"10.1109\/mis.2020.2993266","type":"journal-article","created":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T23:01:07Z","timestamp":1589324467000},"page":"79-85","source":"Crossref","is-referenced-by-count":34,"title":["A Single-Stream Segmentation and Depth Prediction CNN for Autonomous Driving"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4031-3584","authenticated-orcid":false,"given":"Mohamed","family":"Aladem","sequence":"first","affiliation":[{"name":"University of Michigan-Dearborn, Dearborn, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3473-6978","authenticated-orcid":false,"given":"Samir A.","family":"Rawashdeh","sequence":"additional","affiliation":[{"name":"University of Michigan-Dearborn, Dearborn, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Universal representations: The missing link between faces, text, planktons, and cat breeds","author":"bilen","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.579"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500504"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_17"},{"key":"ref14","first-page":"527","article-title":"Multi-task learning as multi-objective optimization","author":"sener","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.4467\/20838476SI.16.004.6185"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref19","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317714"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00159"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref8","article-title":"High quality monocular depth estimation via transfer learning","author":"alhashim","year":"2018"},{"key":"ref7","first-page":"424","article-title":"3D U-Net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"Proc Int Conf Med Image Comput Comput -Assisted Intervention"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1070-x"}],"container-title":["IEEE Intelligent Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9670\/9536250\/09091510.pdf?arnumber=9091510","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:22Z","timestamp":1652194282000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9091510\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,1]]},"references-count":20,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/mis.2020.2993266","relation":{},"ISSN":["1541-1672","1941-1294"],"issn-type":[{"value":"1541-1672","type":"print"},{"value":"1941-1294","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,1]]}}}