{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T16:17:45Z","timestamp":1779207465165,"version":"3.51.4"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51205405"],"award-info":[{"award-number":["51205405"]}],"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":["51305454"],"award-info":[{"award-number":["51305454"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/tnnls.2021.3107362","type":"journal-article","created":{"date-parts":[[2021,9,16]],"date-time":"2021-09-16T20:02:18Z","timestamp":1631822538000},"page":"2710-2721","source":"Crossref","is-referenced-by-count":59,"title":["DPSNet: Multitask Learning Using Geometry Reasoning for Scene Depth and Semantics"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7373-6906","authenticated-orcid":false,"given":"Junning","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Electronic Engineering, National University of Defense Technology, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qunxing","family":"Su","sequence":"additional","affiliation":[{"name":"Missile Engineering Department, Army Engineering University, Shijiazhuang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3130-6243","authenticated-orcid":false,"given":"Bo","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, National University of Defense Technology, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Joint Operations Academy, National Defense University, Shijiazhuang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yining","family":"Li","sequence":"additional","affiliation":[{"name":"Research Institute of Artificial Intelligence, Academy of Military Science, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2866699"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00594"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref15","first-page":"3431","article-title":"Fully convolutional networks for semantic segmentation","author":"jonathan","year":"2015","journal-title":"Proc Comput Vis Pattern Recognit"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00262"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00043"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref31","first-page":"298","article-title":"Geometry meets semantics for semi-supervised monocular depth estimation","author":"ramirez","year":"2018","journal-title":"Proc ACCV"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00628"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.12.049"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01252"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2270110"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2964037"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2787781"},{"key":"ref17","first-page":"1","article-title":"FCNS in the wild: Pixel-level adversarial and constraint-based adaptation","author":"hoffman","year":"2018","journal-title":"Proc Conf Comput Vis Pattern Recognit"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794220"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref38","first-page":"288","article-title":"SDNet: Semantically guided depth estimation network","author":"matthias","year":"2019","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_18"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2871507"},{"key":"ref46","article-title":"T2Net: Synthetic-to-realistic translation for solving single-image depth estimation tasks","author":"zheng","year":"2018","journal-title":"Proc ECCV"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref45","article-title":"AdaDepth: Unsupervised content congruent adaptation for depth estimation","author":"jogendra","year":"2018","journal-title":"Proc CVPR"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298897"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00305"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.19"},{"key":"ref47","article-title":"Virtual worlds as proxy for multi-object tracking analysis","author":"gaidon","year":"2016","journal-title":"Proc CVPR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00273"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2015.2463671"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.396"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105357"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs13010060"},{"key":"ref43","article-title":"Efficient semantic segmentation with pyramidal fusion","volume":"110","author":"or\u0161i?","year":"2021","journal-title":"Pattern Recognit"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_15"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.69"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/SITIS.2018.00041"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461251"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2927436"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00216"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2944343"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_45"},{"key":"ref5","first-page":"1","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00349"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10142048\/09540034.pdf?arnumber=9540034","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:11:33Z","timestamp":1687198293000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9540034\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":48,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3107362","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6]]}}}