{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:25:22Z","timestamp":1773246322119,"version":"3.50.1"},"reference-count":58,"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\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022ZD0118402"],"award-info":[{"award-number":["2022ZD0118402"]}],"id":[{"id":"10.13039\/501100012166","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.2023.3318227","type":"journal-article","created":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T17:51:45Z","timestamp":1695405105000},"page":"1-15","source":"Crossref","is-referenced-by-count":37,"title":["Hypersphere-Based Remote Sensing Cross-Modal Text\u2013Image Retrieval via Curriculum Learning"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1171-1734","authenticated-orcid":false,"given":"Weihang","family":"Zhang","sequence":"first","affiliation":[{"name":"Aerospace Information Research Institute and Key Laboratory of Network Information System Technology (NIST), Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8277-4223","authenticated-orcid":false,"given":"Jihao","family":"Li","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute and Key Laboratory of Network Information System Technology (NIST), Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6071-8014","authenticated-orcid":false,"given":"Shuoke","family":"Li","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute and Key Laboratory of Network Information System Technology (NIST), Chinese Academy of Sciences, Beijing, China"}]},{"given":"Jialiang","family":"Chen","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute and Key Laboratory of Network Information System Technology (NIST), Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8903-2708","authenticated-orcid":false,"given":"Wenkai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute and Key Laboratory of Network Information System Technology (NIST), Chinese Academy of Sciences, Beijing, China"}]},{"given":"Xin","family":"Gao","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute and Key Laboratory of Network Information System Technology (NIST), Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0038-9816","authenticated-orcid":false,"given":"Xian","family":"Sun","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute and Key Laboratory of Network Information System Technology (NIST), Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3163706"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"ref12","article-title":"MCRN: A multi-source cross-modal retrieval network for remote sensing","volume":"115","author":"yuan","year":"2022","journal-title":"Int J Appl Earth Observ Geoinf"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00636"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123359"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030405"},{"key":"ref58","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_13"},{"key":"ref52","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2017","journal-title":"arXiv 1711 05101"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3328485"},{"key":"ref55","first-page":"1","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume":"28","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3260873"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00586"},{"key":"ref17","first-page":"9929","article-title":"Understanding contrastive representation learning through alignment and uniformity on the hypersphere","author":"wang","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1480"},{"key":"ref19","first-page":"4555","article-title":"A survey on curriculum learning","volume":"44","author":"wang","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3078451"},{"key":"ref51","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3148470"},{"key":"ref46","first-page":"1","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014","journal-title":"arXiv 1412 3555"},{"key":"ref48","first-page":"5436","article-title":"Beyond self-attention: External attention using two linear layers for visual tasks","volume":"45","author":"guo","year":"2023","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref47","article-title":"An image is worth 16?16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.89"},{"key":"ref41","first-page":"21653","article-title":"Curriculum by smoothing","volume":"33","author":"sinha","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"arXiv 1301 3781 [cs]"},{"key":"ref43","article-title":"VSE++: Improving visual-semantic embeddings with hard negatives","author":"faghri","year":"2017","journal-title":"arXiv 1707 05612"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.01.004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2268736"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2981997"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3021052"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2016.2598228"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2023.3236662"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2756911"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.383"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00747"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2021.103166"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.542"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482082"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3124252"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.11.020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3226325"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3215803"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2014.10.029"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCIS48478.2019.8974502"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995523"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01611-x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2776321"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00166"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413961"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CITS.2016.7546397"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"ref22","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc 13th Eur Conf Comput Vis (ECCV)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-007-9044-5"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2951636"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3231851"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3132095"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10261223.pdf?arnumber=10261223","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T23:52:17Z","timestamp":1698709937000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10261223\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3318227","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}