{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:07:01Z","timestamp":1773511621508,"version":"3.50.1"},"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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1903127"],"award-info":[{"award-number":["U1903127"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100016109","name":"Taishan Industry Leading Talents","doi-asserted-by":"publisher","award":["tscy20200303"],"award-info":[{"award-number":["tscy20200303"]}],"id":[{"id":"10.13039\/501100016109","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.2023.3256064","type":"journal-article","created":{"date-parts":[[2023,3,10]],"date-time":"2023-03-10T18:25:41Z","timestamp":1678472741000},"page":"1-16","source":"Crossref","is-referenced-by-count":72,"title":["Enhancing Multiscale Representations With Transformer for Remote Sensing Image Semantic Segmentation"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3102-2582","authenticated-orcid":false,"given":"Tao","family":"Xiao","sequence":"first","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5698-7623","authenticated-orcid":false,"given":"Yikun","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0452-4947","authenticated-orcid":false,"given":"Yuwen","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer, Heze University, Heze, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6133-3923","authenticated-orcid":false,"given":"Mingsong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7637-2749","authenticated-orcid":false,"given":"Gongping","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Software, Shandong University, Jinan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258373"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106418"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3037976"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.02.014"},{"key":"ref5","first-page":"1","article-title":"LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation","volume-title":"Proc. Neural Inf. Process. Syst. Track Datasets Benchmarks","author":"Wang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103207"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2021.100295"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.02.003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2015.2408355"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3140108"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3109061"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102706"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3038673"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102769"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3093977"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3063381"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.189"},{"key":"ref20","article-title":"More ConvNets in the 2020s: Scaling up kernels beyond 51\u00d751 using sparsity","author":"Liu","year":"2022","journal-title":"arXiv:2207.03620"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3085889"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/rs13245015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2809606"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3108352"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3065112"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2010.11929"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_2"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/rs14091956"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3144165"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3144894"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref39","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","author":"Zhu","year":"2020","journal-title":"arXiv:2010.04159"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.12.007"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.07.007"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00415"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3097148"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3053062"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2994150"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3050885"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00583"},{"key":"ref51","article-title":"CPTR: Full transformer network for image captioning","author":"Liu","year":"2021","journal-title":"arXiv:2101.10804"},{"key":"ref52","article-title":"Segmenting transparent object in the wild with transformer","author":"Xie","year":"2021","journal-title":"arXiv:2101.08461"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3095166"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3130716"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3152566"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3137967"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-022-0274-8"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00009"},{"key":"ref60","article-title":"ConTNet: Why not use convolution and transformer at the same time?","author":"Yan","year":"2021","journal-title":"arXiv:2104.13497"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00714"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00299"},{"key":"ref63","article-title":"Lawin transformer: Improving semantic segmentation transformer with multi-scale representations via large window attention","author":"Yan","year":"2022","journal-title":"arXiv:2201.01615"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref65","article-title":"Fully transformer networks for semantic image segmentation","author":"Wu","year":"2021","journal-title":"arXiv:2106.04108"},{"key":"ref66","volume-title":"Paddleseg, End-to-End Image Segmentation Kit Based on Paddlepaddle","author":"Contributors","year":"2019"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00309"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref72","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. Adv. Neural Inf. Process. Sys. (NIPS)","volume":"34","author":"Xie"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01181"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.04.024"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10066301.pdf?arnumber=10066301","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T13:05:02Z","timestamp":1707829502000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10066301\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":74,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3256064","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}