{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T07:24:34Z","timestamp":1763018674875,"version":"3.37.3"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018531","name":"Yunnan Provincial Major Science and Technology Special Plan Projects","doi-asserted-by":"publisher","award":["202202AD080003"],"award-info":[{"award-number":["202202AD080003"]}],"id":[{"id":"10.13039\/501100018531","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671480","62372468"],"award-info":[{"award-number":["61671480","62372468"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province, China","doi-asserted-by":"publisher","award":["ZR2019MF073","ZR2023MF008"],"award-info":[{"award-number":["ZR2019MF073","ZR2023MF008"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014761","name":"Qingdao Natural Science Foundation","doi-asserted-by":"publisher","award":["23-2-1-161-zyyd-jch"],"award-info":[{"award-number":["23-2-1-161-zyyd-jch"]}],"id":[{"id":"10.13039\/501100014761","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002886","name":"Major Scientific and Technological Projects of China National Petroleum Corporation","doi-asserted-by":"publisher","award":["ZD2019-183-008"],"award-info":[{"award-number":["ZD2019-183-008"]}],"id":[{"id":"10.13039\/501100002886","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Basic Research Projects in Shandong Province","award":["ZR2023ZD32"],"award-info":[{"award-number":["ZR2023ZD32"]}]},{"name":"Industry of Yunnan Province's Thousand Talents Plan"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3367349","type":"journal-article","created":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T20:08:12Z","timestamp":1708373292000},"page":"1-12","source":"Crossref","is-referenced-by-count":9,"title":["EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-6349-8507","authenticated-orcid":false,"given":"Yu","family":"Bai","sequence":"first","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7655-5630","authenticated-orcid":false,"given":"Shuai","family":"Shao","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}]},{"given":"Shiyuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhejiang Laboratory, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5388-9080","authenticated-orcid":false,"given":"Weifeng","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0783-5273","authenticated-orcid":false,"given":"Dapeng","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, Yunnan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1408-5514","authenticated-orcid":false,"given":"Baodi","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2584107"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2645610"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3144894"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3087401"},{"key":"ref6","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3177853"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/rs15020394"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/rs12213547"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2023.3241340"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3070577"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_43"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/j.0824-7935.2004.t01-1-00228.x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.014"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00077"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00949"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_10"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00974"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_15"},{"key":"ref22","article-title":"Long-tailed recognition by routing diverse distribution-aware experts","author":"Wang","year":"2020","journal-title":"arXiv:2010.01809"},{"key":"ref23","first-page":"21464","article-title":"Energy-based out-of-distribution detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Liu"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2913387"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs11243040"},{"key":"ref27","article-title":"A tutorial on energy-based learning","volume-title":"Predicting Structured Data","volume":"1","author":"LeCun","year":"2006"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog0901_7"},{"key":"ref29","first-page":"1105","article-title":"Learning deep energy models","volume-title":"Proc. 28th Int. Conf. Mach. Learn.","author":"Ngiam"},{"key":"ref30","first-page":"1100","article-title":"Deep structured energy based models for anomaly detection","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Zhai"},{"key":"ref31","first-page":"9538","article-title":"COLD decoding: Energy-based constrained text generation with Langevin dynamics","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Qin"},{"key":"ref32","article-title":"Implicit generation and generalization in energy-based models","author":"Du","year":"2019","journal-title":"arXiv:1903.08689"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3285009"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3297842"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00091"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00686"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-76389-4"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2021.102026"},{"key":"ref39","first-page":"1567","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Cao"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.01.063"},{"key":"ref41","first-page":"34077","article-title":"Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Zhang"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00682"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00638"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2981686"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.01.004"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10354519\/10440127.pdf?arnumber=10440127","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T04:01:28Z","timestamp":1725249688000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10440127\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3367349","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2024]]}}}