{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T17:40:05Z","timestamp":1748367605615,"version":"3.41.0"},"reference-count":64,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100006465","name":"Korea Creative Content Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006465","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,14]]},"DOI":"10.1109\/iros58592.2024.10801719","type":"proceedings-article","created":{"date-parts":[[2024,12,25]],"date-time":"2024-12-25T19:17:39Z","timestamp":1735154259000},"page":"2755-2762","source":"Crossref","is-referenced-by-count":0,"title":["MaskingDepth: Masked Consistency Regularization for Semi-Supervised Monocular Depth Estimation"],"prefix":"10.1109","author":[{"given":"Jongbeom","family":"Baek","sequence":"first","affiliation":[{"name":"Korea University,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gyeongnyeon","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea University,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seonghoon","family":"Park","sequence":"additional","affiliation":[{"name":"Korea University,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Honggyu","family":"An","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matteo","family":"Poggi","sequence":"additional","affiliation":[{"name":"University of Bologna,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seungryong","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea Advanced Institute of Science and Technology,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00136"},{"issue":"2","key":"ref2","first-page":"126","article-title":"Depth-assisted real-time 3d object detection for augmented reality","volume":"11","author":"Lee","year":"2011","journal-title":"ICAT"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197319"},{"key":"ref4","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume":"27","author":"Eigen","year":"2014","journal-title":"NIPS"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2015.7298715"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.596"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"article-title":"From big to small: Multi-scale local planar guidance for monocular depth estimation","year":"2019","author":"Lee","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.3019967"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01196"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33715-4_54"},{"key":"ref16","first-page":"596","article-title":"Fixmatch: Simplifying semisupervised learning with consistency and confidence","volume":"33","author":"Sohn","year":"2020","journal-title":"NIPS"},{"article-title":"Pseudoseg: Designing pseudo labels for semantic segmentation","year":"2020","author":"Zou","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00122"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01257"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811802"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.238"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO49542.2019.8961504"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2940948"},{"article-title":"A large rgb-d dataset for semi-supervised monocular depth estimation","year":"2019","author":"Cho","key":"ref27"},{"key":"ref28","article-title":"What uncertainties do we need in bayesian deep learning for computer vision?","volume":"30","author":"Kendall","year":"2017","journal-title":"NIPS"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00329"},{"article-title":"Beit: Bert pre-training of image transformers","year":"2021","author":"Bao","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00943"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01553"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0071-y"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.19"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_45"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_30"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01003"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00225"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"Devlin","key":"ref39"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","year":"2020","author":"Dosovitskiy","key":"ref40"},{"article-title":"Masked autoencoders are robust data augmentors","year":"2022","author":"Xu","key":"ref41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01596"},{"article-title":"Depthformer: Exploiting long-range correlation and local information for accurate monocular depth estimation","year":"2022","author":"Li","key":"ref43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_51"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2017.00012"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.930649"},{"article-title":"Cutdepth: Edge-aware data augmentation in depth estimation","year":"2021","author":"Ishii","key":"ref48"},{"article-title":"Global-local path networks for monocular depth estimation with vertical cutdepth","year":"2022","author":"Kim","key":"ref49"},{"article-title":"Improved regularization of convolutional neural networks with cutout","year":"2017","author":"DeVries","key":"ref50"},{"article-title":"Unsupervised representation learning by predicting image rotations","year":"2018","author":"Gidaris","key":"ref51"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00227"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref54","first-page":"21 271","article-title":"Bootstrap your own latent-a new approach to self-supervised learning","volume":"33","author":"Grill","year":"2020","journal-title":"NIPS"},{"article-title":"How does simsiam avoid collapse without negative samples? a unified understanding with self-supervised contrastive learning","year":"2022","author":"Zhang","key":"ref55"},{"article-title":"Automatic differentiation in pytorch","year":"2017","author":"Paszke","key":"ref56"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.146"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00294"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00578"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"article-title":"Calibrating self-supervised monocular depth estimation","year":"2020","author":"McCraith","key":"ref64"}],"event":{"name":"2024 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2024,10,14]]},"location":"Abu Dhabi, United Arab Emirates","end":{"date-parts":[[2024,10,18]]}},"container-title":["2024 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10801246\/10801290\/10801719.pdf?arnumber=10801719","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T17:04:23Z","timestamp":1748365463000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10801719\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,14]]},"references-count":64,"URL":"https:\/\/doi.org\/10.1109\/iros58592.2024.10801719","relation":{},"subject":[],"published":{"date-parts":[[2024,10,14]]}}}