{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{“日期部分”:[[2024,4,29]],“日期时间”:“2024-04-29T17:17:32Z”,“时间戳”:1714411052527},“参考计数”:55,“出版商”:“电气与电子工程师学会(IEEE)”,“许可证”:[{“开始”:“日期部分“:[2023,1,1]],”日期时间“:”2023-01-01T00:00 00:00Z“,“timestamp”:1672531200000},“content-version”:“vor”,“delay-in-days”:0,“URL”:“https:\/\/ieeexplore.iee.org\/Xplorehelp\/downloads\/license-information\/IEE.html”},{“start”:{“date-parts”:[2023,1,1]],“date-time”:“2023-01-01T00:00:00Z”,“timetamp”:1.6725121200000},,“URL”:“https://doi.org/10.15223\/policy-029”},{“开始”:{“日期部分”:[[2023,1,1]],“日期时间”:“2023-01-01T00:00:00Z”,“时间戳”:16725312000000},“内容版本”:“stm-asf”,“延迟天数”:0,“URL”:“https://doi.org/10.15223\/policy-037”}],“资助者”:[{“doi”:“10.13039\/50101100001809”,“名称”:“国家中国自然科学基金”,“doi-asserted-by”:“publisher”,“award”:[“62272229”]},{“doi”:“10.13039\/501100004608”,“name”:“江苏省自然科学基金”,“doi-asserted-by”:”publisher“,”award“:[”BK20222012“]}],“content-domain”:{“domain”:[],“crossmark-restriction”:false},“short-container-title”:[”IEEE Trans.Geosci.Remote Sensing“],“published-print”用法:{“date-parts”:[[2023]]},“DOI”:“10.1109\/tgrs.2023.3285443”,“type”:“journal-article”,“created”:{(日期-部件):[[2023,6,23]],“date-time”:“2023-06-23T18:44:29Z”,“timestamp”:1687545869000},”page“:”1-13“,”source“Crossref”,“is-referenced-by-count”:2,“title”:[“MUS-CDB:空中目标探测中主动注释的类别分布平衡混合不确定度抽样”],“前缀”:“10.1109”,“卷”:“61”,“作者”:[{“ORCID”:“http://\/ORCID.org\/00000-0003-2784-3449”,“authenticated-ORCID”:false,“给定”:“Dong”,“family”:“Liang”,”sequence“:”first“,”affiliation“:[{”name“:“中国南京航空航天大学计算机科学与技术学院新型软件技术与产业化协同创新中心模式分析与机器智能工信部重点实验室”}]},{“ORCID”:“http://\/ORCID.org\/0009-0000-5500-9465”,“authenticated-ORCID”:false,“given”:“Jing-Wei”,“family”:“Zhang”,“sequence”:“additional”,“affiliation”:[{“name”:“中国南京航空航天大学计算机科学与技术学院新型软件技术与产业化协同创新中心模式分析与机器智能工信部重点实验室”}]},{“ORCID”:“http://\/ORCID.org\/00000-0003-1529-9714”,“authenticated-ORCID”:false,“given”:“Ying-Peng”,“family”:“Tang”,“sequence”:“additional”,“affiliation”:[{“name”:“中国南京航空航天大学计算机科学与技术学院新型软件技术与产业化协同创新中心模式分析与机器智能工信部重点实验室”}]},{“ORCID”:“http:\/\/ORCID.org/0000-0002-7673-5367”,“认证的ORCID”:false,“given”:“Sheng-Jun”,“family”:“Huang”,“sequence”:“additional”,“affiliation”:[{“name”:“中国南京航空航天大学计算机科学与技术学院新型软件技术与产业化协同创新中心工信部模式分析与机器智能重点实验室”}]}],“成员”:“263”,“参考”:[{“Key”:“ref13”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/CVPR.2018.00418”},{“key”:“ref12”,“doi-asserted-by”:“publisher”,“doi”:“10.1080\/0143161.2020.1714774”}3“},{”key“:”ref53“,”doi-asserted-by“:”publisher“,”doi“:“10.1007\/978-3-031-20056-4_13”},{“key”:“ref52”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TPAMI.2016.2577031”},{“key”:“ref10”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/CVPR52688.2022.00014”},{“key”:“ref54”,“doi-asserted-by”:“publisher”,“doi”:“10.1007\/978-3-031-19839-7_1”}“},{”key“:”ref19“,”doi-asserted-by“:”publisher“,”doi“:“10.1109\/JSTARS.2022.3158903”},{“key”:“ref18”,“doi-asserted-by”:“publisher”,“doi”:“10.109\/CVPR42600.2020.01122”}、{“key”:”ref51“,”doi-assert-by“:”publisher“,”doi“:”10.1609\/aaai.v36i1.19975“},}“keys”:“ref50”,“first page”:“18381”,“article-title”:“通过Ku学习旋转对象检测的高精度边界框llback–Leibler发散”,“作者”:“yang”,“年份”:“2021”,“期刊标题”:“Proc Adv Neural Inf Process Syst”},{“key”:“ref46”,“文章标题”:“区域级主动检测器学习”,“作者”:“laielli”,“年份”:“2021”,“期刊标题”:“arXiv 2108 09186”},{“key”:“ref45”,“doi asserted by”:“publisher”,“doi”:“10.1109\/CVPR.2018.00173”},{“key”:“ref48”,“文章标题”:“探索基于多样性的主动学习,用于自动驾驶中的3D物体检测”,“author”:“liang”,“year”:“2022”,“journal-title”:“arXiv 2205 07708”},{“key”:“ref47”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/CVPR52688.2022.00790”}“key”:“参考41”,“first page”:“1936”,“article-title”:“通过查询信息性和代表性示例进行主动学习”,“author”:“huang”,“year”:“2010”,“journal-title“:Proc Adv Neural Inf Process Syst”},{“key”:”ref44“,”doi-asserted-by“:”publisher“,”doi“:”10.1007\/978-3030-58517-4_9“},”{“密钥”:“ref43”,“article-titel”:“通过不同的、不确定的梯度下限进行深度批量主动学习”,“author”:“ash”,“year”:“2019”,“journal-title”:“arXiv 1906 03671”},{“key”:“ref49”,“doi-asserted-by”:“publisher”,”doi“:”10.1109\/ICCV48922.2021.00350“},”key“:”ref8“,”doi-assert-by“:”publisher“,”doi:“10.1109\/TGRS.2022.3224815”},“首页”:“91”,“文章标题”:“对象检测的深度主动学习”,“author”:“brust”,“year”:“2019”,“journal-title”:“Proc BMVC”},{“key”:“ref9”,”doi-asserted-by“:”publisher“,”doi“:”10.3390\/rs9050494“},”{“key”:“ref4”,“first page”:”506“,”article-title“:”Localization-aware active learning for object detection“,”author“kao”,“年份”:“2018”,”journal-title“:“Proc-Asian Conf Comput-Vis”},{“key”:“ref3”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/MGRS.2022.3145854”}“},{“key”:“ref5”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TNNLS.2021.3111621”},{“密钥”:“ref40”,“article-title”:“卷积神经网络的主动学习:核心集方法”,“author”:“sener”,“year”:“2017”,“journal-title“:”arXiv 1708 00489 46437.2021.01084“},{“键”:“参考34”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/CVPR.2019.00018”},{“key”:“ref37”,“doo-asserted-by”:”publisher“,”doi“:”10.1109\/WACV.2019.00123“},”{“key”:“ref36”,“article-title”:“图像分割的强化主动学习”,“author”:“casanova”,“year”:“2020”,“journal-title“:”arXiv 2002 06583“}”,{”key“:“ref31”“,”文章标题“:“Minimax active learning”,“author”:“ebrahimi”,“year”:“2020”,“journal-title”:“arXiv 2012 10467”},{“key”:“ref30”,“doi-asserted-by”:“publisher”,”doi“:“10.1109”,ICCV.2019.00607”}“:”publisher“,”doi“:”10.1109\/CVPR.2018.00976“},{”key“:”ref2“,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TGRS.2019.2963364”},{“key”:“ref1”,“doo-asserted-by”:”publisher“,”doi“:”10.1109\/MGRS.2017.2762307“},”{“密钥”:“ref39”,“首页”:“7024”,“article-title”:“BatchBALD:高效多样的批量采集,用于深度贝叶斯主动学习”,“author”:“kirsch”,“year”:“2019”,“journal title”:“Proc 33rd Conf Neural Inf Process Syst(NeurIPS)”},{“key”:“ref38”,“doi-asserted-by”:“publisher”,“doi”:“10.24963\/ijcai.2018\/411”}10.3390\/rs11131594“},{“key”:“ref26”,“doi-asserted-by”:“publisher”,“doi”:“10.1109\/TGRS.2021.3136350”},{“key”:“ref25”,“doi-asserted-by”:“publisher”,“doi”:“10.1016\/j.isprsjprs.2020.04.019”}14209“},{”key“:”ref21“,”doi-asserted-by“:”publisher“,”doi“:“10.1109\/CVPR46437.2021.00281”},{“key”:“ref28”,“doi-asserted-by”:“publisher”,“doi”:“10.109\/ICSPSP43922.2022.9746853”}2009年“}],“集装箱运输”:[“IEEE地球科学与遥感汇刊”],“original-title”:[],“link”:[{“URL”:“http://\/xplorestaging.IEEE.org\/ielx7\/36\/1006360\/10158738.pdf?arnumber=10158738”,“content-type”:“unspecified”,“content-version”:“vor”,“intended-application”:“similarity-checking”}],“deposed”:{“date-parts”:[2023,7,17]],“date-time”:“2023-07-17T17:41:32Z”,“timestamp”:1689615692000},“score”:1,“resource”:{“primary”:{“URL”:“https:\/\/ieeexplore.iee.org\/document\/10158738\/”}},”subtitle“:[],”shorttitle“:[],”issued“:{”date-parts“:[2023]]},'references-count“:55,”URL“:”http://\/dx.doi.org\/10.109\/tgrs.2023.3285443“,”关系“:{},”ISSN“:[”0196-2892“,”1558-0644“],”ISSN-type“:[{“数值”:“0196-2892”,“类型”:“打印”},{“值”:“1558-0644”,“种类”:“电子”}],“主题”:[],“发布”:{“日期部分”:[[2023]]}}