{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T22:29:12Z","timestamp":1774909752232,"version":"3.50.1"},"reference-count":59,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12231016"],"award-info":[{"award-number":["12231016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3569658","type":"journal-article","created":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T17:47:39Z","timestamp":1747158459000},"page":"91347-91361","source":"Crossref","is-referenced-by-count":3,"title":["LQ-MixerNeT: A CNN-Transformer Deep Fusion-Based Model for Object Detection in Optical Remote Sensing Images"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7351-480X","authenticated-orcid":false,"given":"Wenxuan","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Physics and Electronic Information, Jiangsu Second Normal University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7561-0329","authenticated-orcid":false,"given":"Ying","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Physics and Electronic Information, Jiangsu Second Normal University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3005403"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3290594"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00537"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3362836"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00871"},{"key":"ref9","first-page":"6881","article-title":"A Fourier perspective on model robustness in computer vision","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yin"},{"key":"ref10","first-page":"1","article-title":"How do vision transformers work?","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Park"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref12","article-title":"Toward transformer-based object detection","author":"Beal","year":"2020","journal-title":"arXiv:2012.09958"},{"key":"ref13","first-page":"1","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref14","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"Ren","year":"2015","journal-title":"arXiv:1506.01497"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00042"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01587"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53992.2023.10394415"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref23","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Dai"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/scisisis55246.2022.10002039"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref28","article-title":"Objects as points","author":"Zhou","year":"2019","journal-title":"arXiv:1904.07850"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01181"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","article-title":"HRFormer: High-resolution transformer for dense prediction","author":"Yuan","year":"2021","journal-title":"arXiv:2110.09408"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00584"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/rs15133442"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3136190"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3550460"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3537593"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3529529"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3363614"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01055"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00676"},{"key":"ref42","first-page":"4487","article-title":"Generative adversarial transformers","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hudson"},{"key":"ref43","first-page":"1","article-title":"You only look at one sequence: Rethinking transformer in vision through object detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Fang"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3389\/fnint.2014.00037"},{"key":"ref46","first-page":"4898","article-title":"Understanding the effective receptive field in deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Luo"},{"key":"ref47","article-title":"Learning spatial fusion for single-shot object detection","author":"Liu","year":"2019","journal-title":"arXiv:1911.09516"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2645610"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2601622"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.11.023"},{"key":"ref52","article-title":"YOLOv3: An incremental improvement","author":"Redmon","year":"2018","journal-title":"arXiv:1804.02767"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3258666"},{"issue":"10","key":"ref54","first-page":"246","article-title":"Small target detection method in remote sensing images based on improved YOLOv7","volume":"60","author":"Miao","year":"2024","journal-title":"Comput. Eng. Appl."},{"issue":"10","key":"ref55","article-title":"Remote-sensing image object detection based on improved YOLOv8 algorithm","volume":"61","author":"Zhang","year":"2024","journal-title":"Laser Optoelectronics Prog."},{"key":"ref56","article-title":"DETRs beat YOLOs on real-time object detection","author":"Zhao","year":"2023","journal-title":"arXiv:2304.08069"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3005161"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3417960"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11002868.pdf?arnumber=11002868","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T18:03:21Z","timestamp":1748887401000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11002868\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3569658","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}