{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T09:50:26Z","timestamp":1774000226302,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12,12]]},"DOI":"10.1145\/3788149.3788218","type":"proceedings-article","created":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T06:35:19Z","timestamp":1773988519000},"page":"438-444","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Improved Post-Earthquake Damaged Building Identification Model Based on a Semantic Change Detection Framework"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3771-6952","authenticated-orcid":false,"given":"Yuanhao","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Earthquake Forecasting,CEA, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8859-0716","authenticated-orcid":false,"given":"Shumin","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Earthquake Forecasting,CEA, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4893-5035","authenticated-orcid":false,"given":"Ziying","family":"Gu","sequence":"additional","affiliation":[{"name":"Institute of Earthquake Forecasting,CEA, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8925-4386","authenticated-orcid":false,"given":"Xiangkun","family":"Kong","sequence":"additional","affiliation":[{"name":"Institute of Earthquake Forecasting,CEA, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,3,19]]},"reference":[{"key":"e_1_3_3_1_1_2","doi-asserted-by":"publisher","DOI":"10.3390\/buildings14082344"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13753-023-00526-6"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-20114-w"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/rs12244193"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3080580"},{"key":"e_1_3_3_1_6_2","volume-title":"Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752.","author":"Gu Albert","year":"2023","unstructured":"Albert Gu and Tri Dao. 2023. Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752."},{"key":"e_1_3_3_1_7_2","unstructured":"Yuheng Liu Jiawei Zhang Xue Yang et al. 2024. VMamba: Visual state space model. arXiv preprint arXiv:2401.10166."},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3417253"},{"issue":"5","key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","first-page":"0528002","DOI":"10.3788\/AOS241826","article-title":"Remote sensing image change detection method based on change guidance and bidirectional Mamba network","volume":"45","author":"Li Xue","year":"2025","unstructured":"Xue Li, Dong Li, Jiandong Fang, and Xueying Feng. 2025. Remote sensing image change detection method based on change guidance and bidirectional Mamba network. Acta Optica Sinica, 45(5), 0528002.","journal-title":"Acta Optica Sinica"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2025.112878"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.3390\/rs16224186"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3493945"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"e_1_3_3_1_16_2","first-page":"4413","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR","author":"Berman Maxim","year":"2018","unstructured":"Maxim Berman, Amal Rannen Triki, and Matthew B. Blaschko. 2018. The Lovasz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018). IEEE, 4413-4421."},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.102783"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3141964"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3500790"}],"event":{"name":"CSAI 2025: 2025 The 9th International Conference on Computer Science and Artificial Intelligence","location":"Beijing China","acronym":"CSAI 2025"},"container-title":["Proceedings of the 2025 9th International Conference on Computer Science and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3788149.3788218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T06:40:52Z","timestamp":1773988852000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3788149.3788218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,12]]},"references-count":19,"alternative-id":["10.1145\/3788149.3788218","10.1145\/3788149"],"URL":"https:\/\/doi.org\/10.1145\/3788149.3788218","relation":{},"subject":[],"published":{"date-parts":[[2025,12,12]]},"assertion":[{"value":"2026-03-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}