{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:39:38Z","timestamp":1767706778760,"version":"3.37.3"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2020B090921001"],"award-info":[{"award-number":["2020B090921001"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62036006","61906147"],"award-info":[{"award-number":["62036006","61906147"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3234252","type":"journal-article","created":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T18:49:55Z","timestamp":1672944595000},"page":"1-16","source":"Crossref","is-referenced-by-count":37,"title":["Multiform Ensemble Self-Supervised Learning for Few-Shot Remote Sensing Scene Classification"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1524-1363","authenticated-orcid":false,"given":"Jianzhao","family":"Li","sequence":"first","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0415-8556","authenticated-orcid":false,"given":"Maoguo","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"}]},{"given":"Huilin","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"}]},{"given":"Yourun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9768-516X","authenticated-orcid":false,"given":"Mingyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3459-5079","authenticated-orcid":false,"given":"Yue","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2022.112916"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3200056"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3081421"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3181062"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2783902"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3170335"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3005403"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3019582"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3193587"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/rs13214200"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs13010108"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs13142728"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/rs13132532"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs14010111"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/rs14102304"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3174277"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3133956"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/rs12244046"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3033336"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3109268"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.07.013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3027387"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3153679"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3099033"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3094123"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs14051161"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs14030485"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs13142776"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/rs12010143"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3043128"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2875943"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3167307"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3184080"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/rs14133111"},{"key":"ref35","first-page":"21271","article-title":"Bootstrap your own latent\u2014A new approach to self-supervised learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"33","author":"Grill"},{"key":"ref36","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proc. 37th Int. Conf. Mach. Learn. (ICML)","author":"Chen"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00815"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58571-6_38"},{"key":"ref39","article-title":"Self-supervised knowledge distillation for few-shot learning","volume-title":"arXiv:2006.09785","author":"Rajasegaran","year":"2020"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01345"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3105377"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084733"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3109728"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2897652"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3121765"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3157320"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3197445"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00789"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746853"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2022.3167805"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1703.05175"},{"key":"ref53","first-page":"3630","article-title":"Matching networks for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"29","author":"Vinyals"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082928"},{"key":"ref55","first-page":"1","article-title":"Learning to propagate labels: Transductive propagation network for few-shot learning","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Liu"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00300"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging8070179"},{"key":"ref60","article-title":"SimpleShot: Revisiting nearest-neighbor classification for few-shot learning","volume-title":"arXiv:1911.04623","author":"Wang","year":"2019"},{"key":"ref61","first-page":"232","article-title":"Infinite mixture prototypes for few-shot learning","volume-title":"Proc. 36th Int. Conf. Mach. Learn. (ICML)","author":"Allen"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869829"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2011.608740"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2675998"},{"key":"ref65","article-title":"Snapshot ensembles: Train 1, get M for free","volume-title":"arXiv:1704.00109","author":"Huang","year":"2017"},{"key":"ref66","first-page":"1","article-title":"Unsupervised representation learning by predicting image rotations","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Komodakis"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093338"},{"key":"ref70","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Finn"},{"key":"ref71","article-title":"Meta-SGD: Learning to learn quickly for few-shot learning","volume-title":"arXiv:1707.09835","author":"Li","year":"2017"},{"key":"ref72","first-page":"1","article-title":"A closer look at few-shot classification","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Chen"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10006829.pdf?arnumber=10006829","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T18:53:02Z","timestamp":1738176782000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10006829\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":74,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3234252","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2023]]}}}