{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T21:19:19Z","timestamp":1773004759029,"version":"3.50.1"},"reference-count":47,"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. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3595010","type":"journal-article","created":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T18:14:37Z","timestamp":1754072077000},"page":"1-18","source":"Crossref","is-referenced-by-count":1,"title":["AdaSemSeg: An Adaptive Few-Shot Semantic Segmentation of Seismic Facies"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0198-0189","authenticated-orcid":false,"given":"Surojit","family":"Saha","sequence":"first","affiliation":[{"name":"Scientific Computing and Imaging Institute, Kahlert School of Computing, The University of Utah, Salt Lake City, UT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ross","family":"Whitaker","sequence":"additional","affiliation":[{"name":"Scientific Computing and Imaging Institute, Kahlert School of Computing, The University of Utah, Salt Lake City, UT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3661813.3661815"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijggc.2018.12.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1190\/INT-2018-0249.1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1190\/INT-2021-0140.1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3997\/2214-4609.202113255"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2118\/216419-MS"},{"key":"ref7","article-title":"Improving seismic interpretation accuracy and efficiency with human-machine collaboration","volume-title":"Proc. IMAGE","author":"Alotaibi"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1190\/geo2023-0508.1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"ref11","volume-title":"SEG Advanced Modeling Corporation AI Project"},{"key":"ref12","article-title":"Penobscot dataset: Fostering machine learning development for seismic interpretation","author":"Baroni","year":"2019","journal-title":"arXiv:1903.12060"},{"key":"ref13","article-title":"Optimization as a model for few-shot learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ravi"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref15","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Finn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9897698"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00697"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.167"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_13"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00295"},{"key":"ref21","article-title":"LMSeg: Language-guided multi-dataset segmentation","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhou"},{"key":"ref22","first-page":"67329","article-title":"DaTaSeg: Taming a universal multi-dataset multi-task segmentation model","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gu"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1190\/geo2022-0281.1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2019.104344"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3328837"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3144666"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1190\/int-2022-0048.1"},{"key":"ref28","article-title":"Semantic segmentation of seismic images","volume-title":"Proc. Int. Joint Conf. Neural Netw. (IJCNN)","author":"Civitarese"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3193567"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00272"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref33","article-title":"What makes ImageNet good for transfer learning?","author":"Huh","year":"2016","journal-title":"arXiv:1608.08614"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00199"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/rs16050922"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3394592"},{"key":"ref40","first-page":"12310","article-title":"Barlow twins: Self-supervised learning via redundancy reduction","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zbontar"},{"key":"ref41","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kingma"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-022-06220-w"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-78172-8_28"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV61041.2025.00096"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49660.2025.10889788"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1306\/42285Chevitarese2018"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11106432.pdf?arnumber=11106432","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:56:24Z","timestamp":1755910584000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11106432\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3595010","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}