{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T20:26:49Z","timestamp":1771705609932,"version":"3.50.1"},"reference-count":90,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3556344","type":"journal-article","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T21:05:22Z","timestamp":1743800722000},"page":"2408-2420","source":"Crossref","is-referenced-by-count":6,"title":["ALPS: An Auto-Labeling and Pre-Training Scheme for Remote Sensing Segmentation With Segment Anything Model"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7312-6892","authenticated-orcid":false,"given":"Song","family":"Zhang","sequence":"first","affiliation":[{"name":"Aerospace Information Research Institute and the Key Laboratory of Network Information System Technology (NIST), Institute of Electronics, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1562-8098","authenticated-orcid":false,"given":"Qingzhong","family":"Wang","sequence":"additional","affiliation":[{"name":"Big Data Laboratory, Baidu Research, Baidu, Inc., Beijing, China"}]},{"given":"Junyi","family":"Liu","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute and NIST, Institute of Electronics, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5451-3253","authenticated-orcid":false,"given":"Haoyi","family":"Xiong","sequence":"additional","affiliation":[{"name":"Big Data Laboratory, Baidu Research, Baidu, Inc., Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7120458"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00201"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.11.042609"},{"key":"ref4","first-page":"555","article-title":"Object-oriented image processing in an integrated GIS\/remote sensing environment and perspectives for environmental applications","volume":"2","author":"Blaschke","year":"2000","journal-title":"Environ. Inf. Planning, Politics Public"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2051533"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-37136-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2589279"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2681128"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.21595\/mme.2018.19840"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-IV-1-W1-141-2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-i-3-293-2012"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301377"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2864282"},{"key":"ref14","first-page":"3781","article-title":"SAMRS: Scaling-up remote sensing segmentation dataset with segment anything model","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.344"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00195"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_31"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.315"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.191"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.181"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.203"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_34"},{"key":"ref25","first-page":"1495","article-title":"Decoupled deep neural network for semi-supervised semantic segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Hong"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.563"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.209"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01652"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00996"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00743"},{"key":"ref31","first-page":"16579","article-title":"Self-supervised visual representation learning from hierarchical grouping","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00990"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02247-0"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2010404"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2004.07.008"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2003.815867"},{"key":"ref38","article-title":"Computer-vision benchmark segment-anything model (SAM) in medical images: Accuracy in 12 datasets","author":"He","year":"2023","journal-title":"arXiv:2304.09324"},{"key":"ref39","article-title":"Segment anything model is a good teacher for local feature learning","author":"Wu","year":"2023","journal-title":"arXiv:2309.16992"},{"key":"ref40","first-page":"25971","article-title":"Segment anything in 3D with NeRFs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Cen"},{"key":"ref41","article-title":"Segment and track anything","author":"Cheng","year":"2023","journal-title":"arXiv:2305.06558"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00817"},{"key":"ref43","article-title":"Knowledge distillation with segment anything (SAM) model for planetary geological mapping","author":"Julka","year":"2023","journal-title":"arXiv:2305.07586"},{"key":"ref44","article-title":"Text2Seg: Remote sensing image semantic segmentation via text-guided visual foundation models","author":"Zhang","year":"2023","journal-title":"arXiv:2304.10597"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2024.3356074"},{"key":"ref46","first-page":"1126","article-title":"Online k-means clustering","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Cohen-Addad"},{"key":"ref47","first-page":"28","article-title":"iSAID: A large-scale dataset for instance segmentation in aerial images","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Zamir"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.5220\/0006120603240331"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3117983"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.11.023"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.12.004"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00199"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00975"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_17"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.845141"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-1533-0_5"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00963"},{"key":"ref59","volume-title":"MMSegmentation: Openmmlab Semantic Segmentation Toolbox and Benchmark","author":"Contributors","year":"2020"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref61","volume-title":"ISPRS.2d Semantic Labeling Contest-Potsdam"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_26"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00717"},{"key":"ref68","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"34","author":"Xie"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3070368"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2022.3176603"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00187"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548541"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.5555\/3001460.3001507"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103540"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1017\/jog.2023.95"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3332219"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01926"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680940"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102918"},{"key":"ref82","article-title":"Track anything: Segment anything meets videos","author":"Yang","year":"2023","journal-title":"arXiv:2304.11968"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00305"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00266"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-022-0302-8"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548096"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00826"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_10"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20114"},{"key":"ref90","first-page":"1834","article-title":"Cluster-aware pseudo-labeling for supervised open relation extraction","volume-title":"Proc. 29th Int. Conf. Comput. Linguistics","author":"Duan"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/10949707.pdf?arnumber=10949707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T17:42:51Z","timestamp":1745602971000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10949707\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":90,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3556344","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}