{"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/fully-convolutional-siamese-networks-for","title":"Fully Convolutional Siamese Networks for Change Detection","arxiv_id":"1810.08462","date":"2018-10-19","proceeding":null,"authors":["Rodrigo Caye Daudt","Bertrand Le Saux","Alexandre Boulch"],"abstract":"This paper presents three fully convolutional neural network architectures\nwhich perform change detection using a pair of coregistered images. Most\nnotably, we propose two Siamese extensions of fully convolutional networks\nwhich use heuristics about the current problem to achieve the best results in\nour tests on two open change detection datasets, using both RGB and\nmultispectral images. We show that our system is able to learn from scratch\nusing annotated change detection images. Our architectures achieve better\nperformance than previously proposed methods, while being at least 500 times\nfaster than related systems. This work is a step towards efficient processing\nof data from large scale Earth observation systems such as Copernicus or\nLandsat.","url_abs":"http://arxiv.org/abs/1810.08462v1","url_pdf":"http://arxiv.org/pdf/1810.08462v1.pdf","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":"fully-convolutional-siamese-networks-for","repo_url":"https://gitlab.com/sbonnefoy/siamese_net_change_detection","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"fully-convolutional-siamese-networks-for","repo_url":"https://github.com/kyoukuntaro/FCSN_for_ChangeDetection_IGARSS2018","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"fully-convolutional-siamese-networks-for","repo_url":"https://github.com/rcdaudt/fully_convolutional_change_detection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"fully-convolutional-siamese-networks-for","repo_url":"https://github.com/Bobholamovic/CDLab","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"fully-convolutional-siamese-networks-for","repo_url":"https://github.com/likyoo/open-cd","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}}],"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"},{"task_slug":"earth-observation","task_name":"Earth Observation"},{"task_slug":"video-object-tracking","task_name":"Video Object Tracking"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/change-detection-on-clcd","task":"Change Detection","dataset":"CLCD","model":"FC-Siam-diff","rank_in_archive_order":3,"of":3,"metrics":{"F1":"54.1"},"uses_additional_data":false},{"leaderboard":"/sota/change-detection-on-egy-bcd","task":"Change Detection","dataset":"EGY-BCD","model":"FC-Siam-diff","rank_in_archive_order":3,"of":3,"metrics":{"F1":"42.3"},"uses_additional_data":false},{"leaderboard":"/sota/change-detection-on-gvlm","task":"Change Detection","dataset":"GVLM","model":"FC-Siam-diff","rank_in_archive_order":4,"of":4,"metrics":{"F1":"74.3"},"uses_additional_data":false},{"leaderboard":"/sota/change-detection-on-oscd-13ch","task":"Change Detection","dataset":"OSCD - 13ch","model":"FC-Siam-Diff","rank_in_archive_order":1,"of":6,"metrics":{"F1":"57.92","Precision":"51.84"},"uses_additional_data":false},{"leaderboard":"/sota/change-detection-on-oscd-13ch","task":"Change Detection","dataset":"OSCD - 13ch","model":"FC-EF","rank_in_archive_order":2,"of":6,"metrics":{"F1":"56.91","Precision":"64.42"},"uses_additional_data":false},{"leaderboard":"/sota/change-detection-on-oscd-3ch","task":"Change Detection","dataset":"OSCD - 3ch","model":"FC-EF","rank_in_archive_order":5,"of":6,"metrics":{"F1":"48.89"},"uses_additional_data":false},{"leaderboard":"/sota/change-detection-on-oscd-3ch","task":"Change Detection","dataset":"OSCD - 3ch","model":"FC-Siam-diff","rank_in_archive_order":6,"of":6,"metrics":{"Precision":"49.81"},"uses_additional_data":false},{"leaderboard":"/sota/video-object-tracking-on-nv-vot211","task":"Video Object Tracking","dataset":"NT-VOT211","model":"SiamFC","rank_in_archive_order":28,"of":43,"metrics":{"AUC":"32.62","Precision":"40.81"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.08462","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}