{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T04:52:20Z","timestamp":1761367940944,"version":"build-2065373602"},"reference-count":95,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jstars.2025.3620484","type":"journal-article","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T17:40:26Z","timestamp":1760463626000},"page":"1-16","source":"Crossref","is-referenced-by-count":0,"title":["MMIDNet: A Multi-level Mutual Information Disentanglement Network for Cross-domain Infrared Small Target Detection"],"prefix":"10.1109","author":[{"given":"Ke","family":"Li","sequence":"first","affiliation":[{"name":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"}]},{"given":"Fujun","family":"Han","sequence":"additional","affiliation":[{"name":"Postdoctoral Fellow, The Chinese University of Hong Kong, Shenzhen, China"}]},{"given":"Yining","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Shandong University, Qingdao, China"}]},{"given":"Kewen","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"}]},{"given":"Bo","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Emergency Technology and Management, North China Institute of Science and Technology, Langfang, China"}]},{"given":"Yan","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-9799-2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3562958"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3538911"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3199107"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3387125"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3608726"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3367922"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.112963"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2024.3367895"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-91835-3_19"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2025.3554780"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW67362.2025.00465"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3542617"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3588885"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02194-5"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3568853"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25332"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3193146"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108907"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681272"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00970"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01767"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02211"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01913-8"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3321511"},{"key":"ref26","first-page":"21189","article-title":"Exploiting domain-specific features to enhance domain generalization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bui","year":"2021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02227"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02108-5"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2025.3529732"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43901-8_13"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3550940"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1117\/12.157758"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3004978"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2954578"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/rs11040382"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00099"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00095"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2024.09.108"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01656"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3263848"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i7.28551"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3327317"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2025.3557021"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3492256"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547817"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3383649"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72855-6_14"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0069"},{"issue":"1","key":"ref50","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref51","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long","year":"2015"},{"key":"ref52","article-title":"Central moment discrepancy (CMD) for domain-invariant representation learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zellinger","year":"2017"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3125266"},{"key":"ref54","article-title":"Mind the gap: Domain gap control for single shot domain adaptation for generative adversarial networks","volume-title":"Proc. 10th Int. Conf. Learn. Representations","author":"Zhu","year":"2022"},{"key":"ref55","first-page":"1989","article-title":"CyCADA: Cycle-consistent adversarial domain adaptation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hoffman","year":"2018"},{"key":"ref56","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganin","year":"2015"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00780"},{"key":"ref59","first-page":"37321","article-title":"Adversarial self-training improves robustness and generalization for gradual domain adaptation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Shi","year":"2023"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108707"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00087"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3568747"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i6.32668"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00687"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00905"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20068"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3274760"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20193"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00431"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108292"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00824"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3178128"},{"article-title":"Adversarial style augmentation for domain generalization","year":"2023","author":"Zhang","key":"ref73"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19830-4_19"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72890-7_16"},{"key":"ref76","first-page":"531","article-title":"Mutual information neural estimation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Belghazi","year":"2018"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.3160290405"},{"key":"ref79","first-page":"5102","article-title":"Domain agnostic learning with disentangled representations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Peng","year":"2019"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref81","first-page":"1027","article-title":"K-means++ the advantages of careful seeding","volume-title":"Proc. 18th Annu. ACM-SIAM Symp. Discrete Algorithms","author":"Arthur","year":"2007"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3243062"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3235150"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3050828"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"issue":"7","key":"ref86","first-page":"2121","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"Duchi","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3235002"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00299"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2024.3523319"},{"volume-title":"A PyTorch-based tool to compute FLOPs and parameters","year":"2019","key":"ref90"},{"key":"ref91","first-page":"2579","article-title":"Visualizing data using T-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref92","first-page":"281","article-title":"Some methods of classification and analysis of multivariate observations","volume-title":"Proc. 5th Berkeley Symp. Math. Statist. Prob.","author":"McQueen","year":"1967"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316801"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1999.784637"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/4609444\/11202276.pdf?arnumber=11202276","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T04:45:05Z","timestamp":1761367505000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11202276\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":95,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3620484","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"type":"print","value":"1939-1404"},{"type":"electronic","value":"2151-1535"}],"subject":[],"published":{"date-parts":[[2025]]}}}