{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ha-u-net-improved-model-for-building","title":"HA U-Net: Improved Model for Building Extraction From High Resolution Remote Sensing Imagery","arxiv_id":null,"date":"2021-07-15","proceeding":"IEEE Access 2021 7","authors":["Leilei Xu; Yujun Liu; Peng Yang; Hao Chen; Hanyue Zhang; Dan Wang; Xin Zhang All Authors"],"abstract":"Deep learning\r\n,\r\nbuilding extraction\r\n,\r\nholistically-nested neural network\r\n,\r\nattention mechanism\r\n,\r\nweight mapping\r\n,\r\nwatershed algorithm","url_abs":"https://ieeexplore.ieee.org/document/9486859/keywords#keywords","url_pdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9486859","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"ha-u-net-improved-model-for-building","repo_url":"https://github.com/SonwYang/building-extraction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}