{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:39:12Z","timestamp":1723016352922},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8]]},"abstract":"Change detection is a widely adopted technique in remote sense imagery (RSI) analysis in the discovery of long-term geomorphic evolution. To highlight the areas of semantic changes, previous effort mostly pays attention to learning representative feature descriptors of a single image, while the difference information is either modeled with simple difference operations or implicitly embedded via feature interactions. Nevertheless, such difference modeling can be noisy since it suffers from non-semantic changes and lacks explicit guidance from image content or context. In this paper, we revisit the importance of feature difference for change detection in RSI, and propose a series of operations to fully exploit the difference information: Alignment, Perturbation and Decoupling (APD). Firstly, alignment leverages contextual similarity to compensate for the non-semantic difference in feature space. Next, a difference module trained with semantic-wise perturbation is adopted to learn more generalized change estimators, which reversely bootstraps feature extraction and prediction. Finally, a decoupled dual-decoder structure is designed to predict semantic changes in both content-aware and content-agnostic manners. Extensive experiments are conducted on benchmarks of LEVIR-CD, WHU-CD and DSIFN-CD, demonstrating our proposed operations bring significant improvement and achieve competitive results under similar comparative conditions. Code is available at https:\/\/github.com\/wangsp1999\/CD-Research\/tree\/main\/openAPD<\/jats:p>","DOI":"10.24963\/ijcai.2023\/166","type":"proceedings-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T04:31:30Z","timestamp":1691728290000},"page":"1497-1505","source":"Crossref","is-referenced-by-count":2,"title":["Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection"],"prefix":"10.24963","author":[{"given":"Supeng","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University"}]},{"given":"Yuxi","family":"Li","sequence":"additional","affiliation":[{"name":"YouTu Lab, Tencent, Shanghai"}]},{"given":"Ming","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University"}]},{"given":"Mingmin","family":"Chi","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University;"},{"name":"Zhengzhou Zhongke Institute of Integrated circuit and System Application, China;"},{"name":"Zhongshan PoolNet Technology Ltd, China"}]},{"given":"Yabiao","family":"Wang","sequence":"additional","affiliation":[{"name":"YouTu Lab, Tencent, Shanghai"}]},{"given":"Chengjie","family":"Wang","sequence":"additional","affiliation":[{"name":"YouTu Lab, Tencent, Shanghai;"},{"name":"Shanghai Jiao Tong University, China"}]},{"given":"Wenbing","family":"Zhu","sequence":"additional","affiliation":[{"name":"Rongcheer, China"}]}],"member":"10584","event":{"number":"32","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2023","name":"Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}","start":{"date-parts":[[2023,8,19]]},"theme":"Artificial Intelligence","location":"Macau, SAR China","end":{"date-parts":[[2023,8,25]]}},"container-title":["Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T04:39:17Z","timestamp":1691728757000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2023\/166"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2023\/166","relation":{},"subject":[],"published":{"date-parts":[[2023,8]]}}}