{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T08:05:14Z","timestamp":1759565114367,"version":"3.37.3"},"reference-count":61,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2021R1C1C1006897"],"award-info":[{"award-number":["NRF-2021R1C1C1006897"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icra46639.2022.9811802","type":"proceedings-article","created":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T19:36:40Z","timestamp":1657654600000},"page":"4562-4569","source":"Crossref","is-referenced-by-count":11,"title":["Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation"],"prefix":"10.1109","author":[{"given":"Jongbeom","family":"Baek","sequence":"first","affiliation":[{"name":"Korea University,CVLAB,Seoul,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gyeongnyeon","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea University,CVLAB,Seoul,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seungryong","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea University,CVLAB,Seoul,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00297"},{"key":"ref38","article-title":"What uncertainties do we need in bayesian deep learning for computer vision?","author":"kendall","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01139"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207304"},{"key":"ref31","article-title":"Rethinking pre-training and self-training","author":"zoph","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.strusafe.2008.06.020"},{"journal-title":"Uncertainty in deep learning","year":"2016","author":"gal","key":"ref36"},{"key":"ref35","first-page":"681","article-title":"Bayesian learning via stochastic gradient langevin dynamics","author":"welling","year":"2011","journal-title":"ICML"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1162\/neco.1992.4.3.448","article-title":"A practical bayesian framework for backpropagation networks","volume":"4","author":"mackay","year":"1992","journal-title":"Neural Computation"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.56"},{"key":"ref61","article-title":"Adaptive confidence thresholding for monocular depth estimation","author":"choi","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref28","first-page":"281","article-title":"Semi-supervised learning by entropy minimization","volume":"367","author":"grandvalet","year":"2005","journal-title":"CAP"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.559"},{"key":"ref29","article-title":"Billion-scale semi-supervised learning for image classification","author":"yalniz","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.695"},{"key":"ref1","first-page":"1147","article-title":"Orb-slam: a versatile and accurate monocular slam system","volume":"31","author":"mur-artal","year":"2015","journal-title":"T-RO"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00329"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01000"},{"key":"ref24","first-page":"3213","article-title":"The cityscapes dataset for semantic urban scene understanding","author":"cordts","year":"2016","journal-title":"CVPR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.32"},{"key":"ref50","article-title":"Learning monocular depth in dynamic scenes via instance-aware projection consistency","author":"lee","year":"0","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00073"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00294"},{"key":"ref57","first-page":"1301","article-title":"Cut, paste and learn: Sur-prisingly easy synthesis for instance detection","author":"dwibedi","year":"2017","journal-title":"ICCV"},{"key":"ref56","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"journal-title":"Automatic differentiation in pytorch[J]","year":"2017","author":"paszke","key":"ref55"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_00990"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_42"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ECMR.2019.8870943"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_51"},{"key":"ref11","first-page":"270","article-title":"Unsupervised monoc-ular depth estimation with left-right consistency","author":"godard","year":"2017","journal-title":"CVPR"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00024"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2019.08.008"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.238"},{"key":"ref16","first-page":"602","article-title":"Semi-supervised monocular depth estimation with left-right consistency using deep neural net-work","author":"amiri","year":"2019","journal-title":"Robio"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_30"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2940948"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.29007\/s94s"},{"key":"ref4","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00115"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298652"},{"key":"ref5","first-page":"1119","article-title":"Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs","author":"li","year":"2015","journal-title":"CVPR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.596"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_9"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00225"},{"key":"ref9","first-page":"740","article-title":"Unsupervised cnn for single view depth estimation: Geometry to the rescue","author":"garg","year":"2016","journal-title":"ECCV"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_20"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.46"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00256"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref42","first-page":"2017","article-title":"Spatial transformer networks","volume":"28","author":"jaderberg","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00012"},{"key":"ref44","article-title":"Loss functions for neural networks for image processing","author":"zhao","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"}],"event":{"name":"2022 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2022,5,23]]},"location":"Philadelphia, PA, USA","end":{"date-parts":[[2022,5,27]]}},"container-title":["2022 International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9811522\/9811357\/09811802.pdf?arnumber=9811802","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:03:51Z","timestamp":1667516631000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9811802\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/icra46639.2022.9811802","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}