{"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/dsamnet-a-deeply-supervised-attention-metric","title":"DSAMNet: A Deeply Supervised Attention Metric Based Network for Change Detection of High-Resolution Images","arxiv_id":null,"date":"2021-10-12","proceeding":"IEEE International Geoscience and Remote Sensing Symposium IGARSS 2021 10","authors":["Mengxi Liu","Qian Shi"],"abstract":"In view of the insufficient of current change detection, we propose a deeply-supervised attention metric-based network (DSAMNet) for bi-temporal image change detection. The DSAMNet contains a CBAM integrated change decision module to learn a change map directly from features from feature extractor, and an auxiliary deep supervision module to generate intermediate change results to help the training of hidden layers. We also provide a new benchmark-SYSU-CD-with totally 20000 image pairs for the training and testing of deep learning based CD methods. Comparative experiments on the SYSU-CD dataset have proved the effectiveness of the proposed method.","url_abs":"https://ieeexplore.ieee.org/document/9555146","url_pdf":"https://ieeexplore.ieee.org/document/9555146","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":"dsamnet-a-deeply-supervised-attention-metric","repo_url":"https://github.com/liumency/DSAMNet","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"change-detection","task_name":"Change Detection"},{"task_slug":"change-detection-for-remote-sensing-images","task_name":"Change detection for remote sensing images"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/change-detection-on-sysu-cd","task":"Change Detection","dataset":"SYSU-CD","model":"DSAMNET","rank_in_archive_order":10,"of":12,"metrics":{"F1":"78.18","IoU":"64.18","Precision":"74.81","Recall":"81.86"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}