{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:10:20Z","timestamp":1777655420091,"version":"3.51.4"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"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 Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/tnnls.2021.3072883","type":"journal-article","created":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T19:31:41Z","timestamp":1620847901000},"page":"5404-5415","source":"Crossref","is-referenced-by-count":41,"title":["Multitask GANs for Semantic Segmentation and Depth Completion With Cycle Consistency"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8830-1355","authenticated-orcid":false,"given":"Chongzhen","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2750-8029","authenticated-orcid":false,"given":"Yang","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3651-2177","authenticated-orcid":false,"given":"Chaoqiang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1401-8768","authenticated-orcid":false,"given":"Qiyu","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhencheng","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jurgen","family":"Kurths","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929170"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460184"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"ref32","article-title":"FCNs in the wild: Pixel-level adversarial and constraint-based adaptation","author":"hoffman","year":"2016","journal-title":"arXiv 1612 02649"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00261"},{"key":"ref35","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv 1411 1784"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00145"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref27","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2020.100050"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2330900"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793637"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00273"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00343"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01132"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00253"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref25","first-page":"1","article-title":"Project to adapt: Domain adaptation for depth completion from noisy and sparse sensor data","author":"lopez-rodriguez","year":"2020","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref50","article-title":"Virtual KITTI 2","author":"cabon","year":"2020","journal-title":"arXiv 2001 10773"},{"key":"ref51","first-page":"469","article-title":"Coupled generative adversarial networks","author":"liu","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00290"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_7"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.310"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.241"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00712"},{"key":"ref11","first-page":"1989","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","author":"hoffman","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00017"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00189"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00382"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2922854"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00252"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2014.X.007"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139582"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2929059"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2787781"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11431-020-1582-8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2988928"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/s20030635"},{"key":"ref7","article-title":"An overview of perception and decision-making in autonomous systems in the era of learning","author":"tang","year":"2020","journal-title":"arXiv 2001 02319"},{"key":"ref49","first-page":"4340","article-title":"Virtual worlds as proxy for multi-object tracking analysis","author":"gaidon","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref9","article-title":"A review on deep learning techniques applied to semantic segmentation","author":"garcia-garcia","year":"2017","journal-title":"arXiv 1704 06857"},{"key":"ref46","article-title":"Masked GAN for unsupervised depth and pose prediction with scale consistency","author":"zhao","year":"2020","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref45","article-title":"A survey on multi-task learning","author":"zhang","year":"2017","journal-title":"arXiv 1707 08114"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref42","first-page":"41","article-title":"Multi-task feature learning","author":"argyriou","year":"2007","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00026"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00423"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00903"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9629429\/09429178.pdf?arnumber=9429178","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:14Z","timestamp":1652194394000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9429178\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":56,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3072883","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12]]}}}