{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T19:00:38Z","timestamp":1771614038928,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,17]],"date-time":"2023-11-17T00:00:00Z","timestamp":1700179200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006107"],"award-info":[{"award-number":["62006107"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,17]]},"DOI":"10.1145\/3652628.3652775","type":"proceedings-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T10:36:46Z","timestamp":1716460606000},"page":"881-885","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["HRDNet: A Novel High-Resolution Depth Estimation Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0415-8163","authenticated-orcid":false,"given":"Jinyan","family":"Li","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Linyi University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8788-3894","authenticated-orcid":false,"given":"Xing","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Linyi University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1470-6391","authenticated-orcid":false,"given":"Zhangqiao","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Linyi University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-7004-1910","authenticated-orcid":false,"given":"Hao","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Linyi University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2335-339X","authenticated-orcid":false,"given":"Ji","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Linyi University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,23]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"2374","volume-title":"Proceedings of the 27th International Con- ference on Neural Information Processing Systems -","volume":"2","author":"Eigen D.","year":"2014","unstructured":"Eigen, D., Puhrsch, C., Fergus, R. 2014: Depth map prediction from a single image using a multi-scale deep network. In: Proceedings of the 27th International Con- ference on Neural Information Processing Systems - Volume 2. NIPS\u201914, pp. 2366\u20132374. MIT Press, Cambridge, MA, USA. https:\/\/dl.acm.org\/doi\/10. 5555\/2969033.2969091"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.304"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00218"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"Laina I. Rupprecht C. Belagiannis V. Tombari F. Navab N. 2016: Deeper depth prediction with fully convolutional residual networks. https:\/\/doi.org\/10.1109\/3DV.2016.32 1109\/3DV.2016.32","DOI":"10.1109\/3DV.2016.32"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00305"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00212"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_3"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00077"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.35.208"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"e_1_3_2_1_13_1","first-page":"11874","volume-title":"International Conference on Machine Learning","author":"Yang L.","year":"2021","unstructured":"Yang, L., Zhang, R.-Y., Li, L., Xie, X. 2021: Simam: A simple, parameter-free attention module for convolutional neural networks. In: International Conference on Machine Learning, pp. 11863\u201311874. PMLR"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.700"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","unstructured":"Klingner M. Termohlen J. Ritterbach J. Fingscheidt T. 2022: Unsupervised batch- norm adaptation (ubna): A domain adaptation method for semantic segmentation without using source domain representations. In: 2022 IEEE\/CVF Winter Con- ference on Applications of Computer Vision Workshops (WACVW) pp. 210\u2013220. IEEE Computer Society Los Alamitos CA USA. https:\/\/doi.org\/10.1109\/WACVW54805.2022.00027 1109\/WACVW54805.2022.00027 . https:\/\/doi.ieeecomputersociety.org\/10.1109\/ WACVW54805.2022.00027","DOI":"10.1109\/WACVW54805.2022.00027"},{"key":"e_1_3_2_1_16_1","first-page":"2203","volume-title":"Proceedings of the 20th International Joint Conference on Artifical Intelligence. IJCAI\u201907","author":"Saxena A.","year":"2007","unstructured":"Saxena, A., Schulte, J., Ng, A.Y. 2007: Depth estimation using monocular and stereo cues. In: Proceedings of the 20th International Joint Conference on Artifical Intelligence. IJCAI\u201907, pp. 2197\u20132203. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Wang C Buenaposada J M Zhu R 2018: Learning depth from monocular videos using direct methods [C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition: 2022-2030.","DOI":"10.1109\/CVPR.2018.00216"}],"event":{"name":"ICAICE 2023: The 4th International Conference on Artificial Intelligence and Computer Engineering","location":"Dalian China","acronym":"ICAICE 2023"},"container-title":["Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652628.3652775","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3652628.3652775","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T15:28:52Z","timestamp":1765207732000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652628.3652775"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,17]]},"references-count":17,"alternative-id":["10.1145\/3652628.3652775","10.1145\/3652628"],"URL":"https:\/\/doi.org\/10.1145\/3652628.3652775","relation":{},"subject":[],"published":{"date-parts":[[2023,11,17]]},"assertion":[{"value":"2024-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}