{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:13:04Z","timestamp":1763190784325,"version":"3.45.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227192","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Lightweight Self-Supervised Monocular Depth Estimation Based on Multi-Scale Hybrid Attention"],"prefix":"10.1109","author":[{"given":"Xue","family":"Yi","sequence":"first","affiliation":[{"name":"School of Software Engineering Beijing Jiaotong University,Beijing,China"}]},{"given":"Ruipeng","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Software Engineering Beijing Jiaotong University,Beijing,China"}]},{"given":"Gang","family":"Han","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security Xi&#x2019;an University of Posts and Telecommunications,Xi&#x2019;an,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV57658.2022.00077"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3199265"},{"key":"ref3","article-title":"Depth map prediction from a single image using a multi-scale deep network","volume-title":"Proceedings of the Advances in Neural Information Processing Systems (NeurIPS)","volume":"27","author":"Eigen"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296575"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_45"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00594"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.10.073"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.365"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"article-title":"From big to small: Multi-scale local planar guidance for monocular depth estimation","year":"2019","author":"Lee","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00400"},{"issue":"2","key":"ref14","first-page":"4","article-title":"Monoformer: Towards generalization of self-supervised monocular depth estimation with transformers","volume":"1","author":"Bae","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5244\/C.35.208"},{"key":"ref17","first-page":"11 863","article-title":"Simam: A simple, parameter-free attention module for convolutional neural networks","volume-title":"Proceedings of the International Conference on Machine Learning","author":"Yang"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01778"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00675"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2020.103100"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72973-7_8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/3DV53792.2021.00056"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2505283"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.238"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_30"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_35"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00225"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02052"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00216"},{"key":"ref32","article-title":"Unsupervised scale-consistent depth and ego-motion learning from monocular video","volume-title":"Proceedings of the Advances in Neural Information Processing Systems (NeurIPS)","volume":"32","author":"Bian"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2930258"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018001"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00481"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16329"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00573"},{"article-title":"Decoupled weight decay regularization","year":"2017","author":"Loshchilov","key":"ref38"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2009.5206848"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.132"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01254"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227192.pdf?arnumber=11227192","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:09:17Z","timestamp":1763190557000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227192\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227192","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}