{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T18:40:32Z","timestamp":1774204832012,"version":"3.50.1"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2018AAA0102801"],"award-info":[{"award-number":["2018AAA0102801"]}]},{"name":"National Key R&D Program of China","award":["2018AAA0102803"],"award-info":[{"award-number":["2018AAA0102803"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772424"],"award-info":[{"award-number":["61772424"]}],"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":["61702418"],"award-info":[{"award-number":["61702418"]}],"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":["61602383"],"award-info":[{"award-number":["61602383"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3488499","type":"journal-article","created":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T18:04:43Z","timestamp":1730311483000},"page":"3069-3073","source":"Crossref","is-referenced-by-count":2,"title":["MonoBooster: Semi-Dense Skip Connection With Cross-Level Attention for Boosting Self-Supervised Monocular Depth Estimation"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2142-0632","authenticated-orcid":false,"given":"Changhao","family":"Wang","sequence":"first","affiliation":[{"name":"Visual Intelligent Processing Laboratory, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6036-4074","authenticated-orcid":false,"given":"Guanwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Visual Intelligent Processing Laboratory, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1003-4381","authenticated-orcid":false,"given":"Zhengyun","family":"Cheng","sequence":"additional","affiliation":[{"name":"Visual Intelligent Processing Laboratory, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9715-6957","authenticated-orcid":false,"given":"Wei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Visual Intelligent Processing Laboratory, School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Eigen","year":"2014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00578"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3067498"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"key":"ref8","first-page":"12626","article-title":"Forget about the LiDAR: Self-supervised depth estimators with med probability volumes","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Luis","year":"2020"},{"key":"ref9","first-page":"6847","article-title":"Plade-net: Towards pixel-level accuracy for self-supervised single-view depth estimation with neural positional encoding and distilled matting loss","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Luis","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref11","first-page":"35","article-title":"Unsupervised scale-consistent depth and ego-motion learning from monocular video","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Bian","year":"2019"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3065203"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01484-6"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00256"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01254"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16329"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3160656"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00717"},{"key":"ref21","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dosovitskiy","year":"2021"},{"key":"ref22","first-page":"20014","article-title":"XCiT: Cross-covariance image transformers","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ali","year":"2021"},{"key":"ref23","article-title":"Monoformer: Towards generalization of self-supervised monocular depth estimation with transformers","author":"Bae","year":"2022"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/3DV57658.2022.00077"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/3DV53792.2021.00056"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01778"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref31","article-title":"Layer normalization","author":"Lei","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01157"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"ref35","article-title":"Automatic differentiation in pytorch","author":"Paszke","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981595"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3215587"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3402655"},{"key":"ref39","article-title":"Semantically-guided representation learning for self-supervised monocular depth","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Guizilini","year":"2020"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_35"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.132"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10380231\/10738278.pdf?arnumber=10738278","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T04:37:48Z","timestamp":1732682268000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10738278\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3488499","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}