{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{“日期-部件”:[[2024,2,4],“日期-时间”:“2024-02-04T00:17:29Z”,“时间戳”:1707005849950},“参考-计数”:77,“发布者”:“Elsevier BV”,“许可证”:[{“开始”:“日期-零件”:[2024,5,1]],“日期时间”:”2024-05-01T00:00:00 Z“,”timestamp“:1714521600000},”content-version“:“tdm”,“delay-in-days”:0,“URL”:“https:\/\/www.elsevier.com//tdm\/userlicense\/1.0\/”},{“start”:{“date-parts”:[[2024,5,1]],“date-time”:“2024-05-01T00:00:00Z”,“timestamp”:1714521600000},“content-version”:“stm-asf”,“delay-in-days”:“0”,“URL“https:\\/doi.org\/10.15223\/policy-017“},{“start”:{“date-parts”:[[2024,5,1]],“date-time”:“2024-05-01T00:00:00Z”,“时间戳”:1714521600000},“内容版本”:“stm-asf”,“延迟天数”:0,“URL”:“https://doi.org/10.15223\/policy-037”},{“开始”:{“日期部分”:[[2024,5,1]],“日期时间”:“2024-05-01T00:00:00Z”,“时间戳”:1714521600000},“内容版本”:“stm-asf”,“延迟天数”:0,“URL”:“https://doi.org/10.15223\/policy-012”},{“开始”:{“日期部分”:[[2024,5,1]],“date-time”:“2024-05-01T00:00:00Z”,“timestamp”:1714521600000},“content-version”:“stm-asf”,“delay-in-days”:0,“URL”:“https:\/\/doi.org\/10.15223\/policy-029”},{“start”:{“date-parts”:[[2024,5,1]],“datetime”:“204-05-01T00:00Z”,asf“,”delay-in-days“:0,”URL“:”https:\/\/doi.org\/10.15223\/policy-004“}],“content-domain”:{“domain”:[“elsevier.com”,“sciencedirect.com”],“crossmark-restriction”:true},“short-container-title”:[“Information Fusion”],”published-print“:{”date-parts“:[[2024,5]]},”DOI“:”10.1016\/j.inffus.2023.102215“,”type“:”journal-article“,”created“:”{“date-partts”:[2023,12,27]],“date-time”:“2023-12-27”T17:08:16Z“,”时间戳“:1703696896000},“page”:“102215”,“update-policy”:”http://\/dx.doi.org\/10.1016\/elsevier_cm_policy“,”source“:”Crossref“,“is-referenced-by-count”:0,“title”:[“RA-MMIR:通过鲁棒自适应变量注意量规字段进行多模态图像注册”],“prefix”:“10.1016”,“volume”:“105”,“author”:[{“ORCID”::“http://\/ORCID.org\/00000-0003-2 748-9697英寸,“authenticated-orcid”:false,“given”:“Junhui”,“family”:“邱”,“sequence”:“first”,“affiliation”:[]},{“givens”:“Hao”,“家族”:“Li”,”sequence“:“additional”,“filiation“:[]{”,{”given“giving”:“华龙”,“家庭”:“曹”,序列“sequences”:[]},{“给定”:“学东”,“家族”:“刘”,“序列”:“附加”,“从属关系”:[]},{“给定”:“孟”,“家庭”:“桑”,“顺序”:“额外”,“隶属关系”:[]}id.org\/00000-0002-4607-0501“,“authenticated-orcid”:false,“given”:“Yang”,“family”:“杨”,“sequence”:“additional”,“affiliation”:[]},{“orcid”:”http://\/orcid.org\/00000-0003-3919-5805“,”authentimated-orcid:false,”given“:”Pan“,”family“:”Tan“,”sequence“:”additional“,”affiliation:[]}],“member”:“78”,“reference”:[{“key”“10.1016\/j.inffus.2023.102215 _b1“,”doi-asserted-by“:”crossref“,“首页”:“28”,“DOI”:“10.1016\/j.inffus.2021.12.004”,“article-title”:“高级视觉任务循环中的图像融合:语义感知的实时红外和可见光图像融合网络”,“volume”:“82”,“author”:“Tang”,“year”:“2022”,“journal-title“:Inf.fusion”},{“issue”:“7”,“key”::“crossref”,“首页”:“1200”,“DOI”:“10.1109\/JAS.2021005686”,“文章标题”:“SwinFusion:通过swin transformer进行通用图像融合的跨域远程学习”,“卷”:“9”,“作者”:“Ma”,“年”:“2022”,“期刊标题”:“IEEE\/CAA J.Autom.Sin.”},{“issue”:“1”,“key”:“10.1016\/J.infus.2023102215_b3”,“DOI asserted by”:“crossref”,“首页”:“502”,“DOI”:“10.1109\/TPAMI.2020.3012548”,“article-title”:“U2fusion:统一的无监督图像融合网络”,“卷”:“44”,“作者”:“徐”,“年份”:“2020”,“期刊标题”:“IEEE Trans.Pattern Anal.Mach.Intell.”},{“key”:“101016\/j.inffus.2023.102215_b4”,“article-tiple”:“Lrrnet:红外和可见光图像的新型表征学习引导融合网络”,“author”:“Li”,“year”:“2023”,“journal-title”:“IEEE Trans.Pattern Anal.Mach.Intell.”},{“key”:“10.1016\/j.inffus.2023.102215_b5”,“series-title”:,“年份”:“2022”},{“key”:“10.1016\/j.inffus.2023.102215_b6”,“doi-asserted-by”:“crossref”,“unstructured”:“孙培泽、张如峰、蒋毅、孔涛、徐晨峰、詹伟、多美滋、李磊、袁泽桓、王长虎等,稀疏r-cnn:可学习提案的端到端对象检测,收录于:IEEE计算机视觉与模式识别会议论文集,2021年,第14454页,201314463页。”,“DOI”:“10.1109\/CVPR46437.2021.01422”},{“key”:“10.1016\/j.inffus.2023.102215_b7”,“非结构化”:“杜云浩,万俊峰,赵燕云,张斌宇,童志航,董俊浩,Giaotracker:mcmot的综合框架,包含visdrone 2021中的全球信息和优化策略,收录于:IEEE计算机视觉国际会议论文集,2021年,第2809\u20132819页。”},{“key”:“10.1016\/j.inffus.2023.102215_b8”,“series title”:“Bot SORT:鲁棒关联多人跟踪”,“author”:“Aharon”,“year”:“2022”},{“issue”:“1”,“key”:“10.1016\/j.infus.2023102215_b9”,“doi asserted by”:“crossref”,“first page”:“99”,“doi”:“10.1145\/3503250”,“article title”:“Nerf:将场景表示为视图合成的神经辐射场”,“volume”:“65”,“author”:“Mildenhall”,“year”:“2021”,“journal title”:“Commun.ACM”},{“key”:“10.1016\/j.infus.2023102215_b10”,“doi断言者”:“crossref”,“首页”:“181”,“doi”:“10.1016\/j.sprsjprs.2022.06.09”,“文章标题”:“通过图形注意力网络学习消除不匹配”,“卷”:“190”,“作者”:“Jiang”,“year”:“2022”,“journal title”:“ISPRS j。照片。遥感器“},{“key”:“10.1016\/j.inffus.2023.102215_b11”,“doi-asserted-by”:“crossref”,“doi”:“101109\/TPAMI.2023.334515”,“article-title”:“Convmatch:重新思考双视通信学习的网络设计”,“author”:“Zhang”,“year”:“2023”,“journal-title“:”IEEE Trans.Pattern Anal.Mach.Intell.“}15_b12“,”doi-asserted-by“:”crossref“,”first page“:”22“,”doi“:”10.1016\/j.inffus.2021.02.012“,”article-title“:”综述多模图像匹配:方法和应用“,”volume“:“73”,”author“:”Jiang“,“year”:“2021”,“journal-title”:“Inf.Fusion”},{“key”:“10.1016\/j.inffus.2023.102215_b13”,“doi-assert-by”:“crossref.”,“first pages”:“11“,”doi“:”10.1016\/j.inffus.2018.09.004“,”article-title“:”Fusiongan:红外和可见光图像融合的生成性对抗网络“,”volume“:”48“,”author“:”Ma“,”year“:”2019“,”journal-title”:“Inf.fusion”},{“key”:“10.1016\/j.inffus.2023.102215_b14”,“doi-asserted-by”:“crossref”,“first page”:”153“,“doi”:“1016\/j.inffus.2018.02.004”,“文章标题”:“红外和可见光图像融合方法和应用:综述”,“卷”:“45”,“作者”:“马”,“年份”:“2019年”,“新闻标题”:“Inf.fusion”},{“关键”:“10.1016\/j.inffus.2023.102215_b15”,“doi-asserted-by”:“crossref”,“首页”:“268”,“doi”:“101016\/j.inffes.2022.12.005”,“文章标题”:通过区域信息协调促进目标级红外和可见光图像融合”,“卷”:“92”,“作者”:“汉族”,“年份”:“2023”,“日志标题”:“Inf.fusion”},{“键”:“10.1016\/j.inffus.2023.102215_b16”,“doi-asserted-by”:“crossref”,“首页”:“336”,“doi”:“101016\/j.inffes.2022.12.007”,“article-title”:“AT-GAN:红外和可见光图像融合关注和过渡的生成性对抗网络”,“卷”:“92”,“作者”:“Rao”,“年份”:“2023”,“新闻标题”:“Inf.fusion”},{“密钥”:“10.1016\/j.inffus.2023.102215_b17”,“series-title”:“基于鲁棒自适应概率分布的注意规范场的多模态图像局部配准”,“author”:“Qiu”,“year”:“2023”},{“key”:“10.1016\/j.inffus.2023.102215_b18”,“doi-asserted-by”:“crossref”,”doi“:“10.116\/j.inffus.2023.101835”,“article-title”:“语义引领一切:从语义角度实现统一的图像配准和融合“,”卷“:”98“,”作者“:”谢“,”年份“:”2023“,”期刊标题“:”Inf.fusion“},{“key”:“10.1016\/j.inffus.2023.102215_b19”,“doi-asserted-by”:“crossref”,“unstructured”:“Daniel DeTone,Tomasz Malisiewicz,Andrew Rabinovich,Superpoint:自我监督兴趣点检测和描述,摘自:IEEE计算机视觉和模式识别研讨会会议记录,2018年,第224\u2013236页。“,”DOI“:”10.1109\/CVPRW.2018.00060“},{“key”:“10.1016\/j.inffus.2023.102215_b20”,“series-title”:“OpenGlue:基于开源图形神经网络的图像匹配流水线”,“author”:“Viniavskyi”,“year”:“2022”},{“key”:“10.1016\/j.inffus.2023.102215_b21”,“doi-asserted-by”:“crossref”,”first page“:”23“,”doi“:”10.1007\/s11263-020-01359-2“,”article-title“:”从手工制作到深层特征的图像匹配:A survey“,”volume“:“129“,”author“:”Ma“年份”:“2021年”,“新闻标题”:“国际计算杂志”。视觉。“},{”issue“:“2”,”key“:”10.1016\/j.inffus.2023.102215_b22“,”doi-asserted-by“:”crossref“,”first page“:“91”,”doi“:”101023\/B:VISI.0002964.99615.94“,”article-title“:”Distinctive image features from scale-invariant keypoints“,”volume“:”60“,”author“:”Lowe“,“year”:“2004”,“journal-title”:“Int.j.Compute.Vis.”},{“密钥”:“10.1016\/j.inffus.2023.102215_b23“,“series-title”:“欧洲计算机视觉会议”,“首页”:“404”,“article-title”:“Surf:加速健壮特性”,“author”:“Bay”,“year”:“2006”},{“key”:”10.1016\/j.inffus.2023.102215_b24“,“unstructured”:“Deepak Geetha Viswanathan,加速段测试特性(fast),摘自:《第十届多媒体交互服务图像分析研讨会论文集》,英国伦敦,2009年,第6\u20138页2011年“},{”问题“:”6“,”关键“:”10.1016\/j.inffus.2023.102215_b26“,“doi-asserted-by”:“crossref”,“first page”:“381”,“doi”:“10.1145\/358669.358692”,“article-title”:“随机样本共识:模型拟合应用于图像分析和自动制图的范式”,“volume”:”24“,“author”:“Fischler”,“year”:“1981”,“journal-title“:”Commun公司。ACM“},{”issue“:”2“,”key“:”10.1016\/j.inffus.2023.102215_b27“,”doi-asserted-by“:”crossref“,”first page“:“292”,”doi“:”101016\/j.cviu.2011.10.009“,”article-title“一种使用EM算法和softassign进行点集通信的新图形匹配方法”,“volume”:“116”,“author”:“Sanrom\u00e0”,“year”:“2012”,“journal-title”:“”计算。视觉。图像理解。“},{”issue“:”12“,”key“:”10.1016\/j.inffus.2023.102215_b28“,”doi-asserted-by“:”crossref“,”first page“:“2262”,”doi“:”101109\/TPAMI.2010.46“,”article-title“:”Point-set registration:Coherent Point drift“,“volume”:“32”,“author”:“Myronenko”,“year”:“2010”,“journal-title”:“IEEE Trans.Pattern Anal.Mach.Intell.”},}“问题”:“2”,“密钥”:“10.1016\/j.inffus.2023.102215_b29“,“doi-asserted-by”:“crossref”,“first page”:“371”,“doi”:“10.1109\/TPAMI.2016.2545659”,“article-title”:“稳健仿射和非刚性点集匹配的概率模型”,“volume”:”39“,”author“:”Qu“,”year“:”2016“,”journal-title“:”IEEE Trans。模式分析。机器。智力。“},{”key“:”10.1016\/j.inffus.2023.102215_b30“,”doi-asserted-by“:”crossref“,”first page“:“512”,”doi“:”101007\/s11263-018-1117-z“,”article-title“:”Locality preserving matching“,”volume“:ffus.2023.102215_b31“,”首页“:”8212“,”article-title“:”几何模型拟合的具有鲁棒损失函数的高效确定性搜索“,”volume“:”44“,”author“:”Fan“,”year“:”2021“,”journal-title”:“IEEE Trans。模式分析。机器。智力。“},{”key“:”10.1016\/j.inffus.2023.102215_b32“,”unstructured“:”Xingyu Jiang,Jiayi Ma,Robust Model Reasoning and Fitting via Dual Sparsity Pursuit,in:第三十七届神经信息处理系统会议,2023年Mihai Dusmanu,Ignacio Rocco,Tomas Pajdla,Marc Pollefeys,Josef Sivic,Akihiko Torii,Torsten Sattler,D2-net:联合描述和检测局部特征的可训练cnn,收录于:2019年Ieee/Cvf计算机视觉和模式识别会议记录,第8092\u20138101页。“,“DOI”:“10.1109\/CVPR.2019.00828”},{“key”:“10.1016\/j.inffus.2023.102215_b34“,“doi-asserted-by”:“crossref”,“unstructured”:“Paul-Edouard Sarlin,Daniel DeTone,Tomasz Malisiewicz,Andrew Rabinovich,Superglue:与图形神经网络的学习特征匹配,摘自:IEEE计算机视觉与模式识别会议论文集,2020,第4938\u20134947页。”,“doi”:“10.1109\/CVPR42600.2020.00499“},{“key”:“10.1016\/j.inffus.2023.102215_b35”,“unstructured”:“孙嘉明,沈泽宏,王远,鲍虎军,周晓伟,LoFTR:无检测器局部特征与变压器匹配,收录于:IEEE\/CVF计算机视觉与模式识别会议论文集,2021,第8922\u20138931页。”},}“问题”:“12”,“key“:”10.1016\/j.inffus.2023.102215_b36“,”doi-asserted-by“:”crossref“,”first-page“:”2121“,”doi“:”101109\/JAS.2022.106082“,”article-title“:”SuperFusion:一个具有语义意识的多功能图像注册与融合网络“,”volume“:“9”,”author“:”Tang“,”year“:”2022“,“journal-title”:“IEEE\/CAA j.Autom。罪。“},{”key“:”10.1016\/j.inffus.2023.102215_b37“,”unstructured“:”Qing Wang,Jiaming Zhang,Kailun Yang,Kunyu Peng,Rainer Stiefelhagen,Matchformer:Interleaving attention in transformers for feature matching“,in:Proceedings of the Asian Conference on Computer Vision,2022,pp.2746\u20132762“}文章标题“:“MURF:相互增强的多模态图像配准和融合”,“作者”:“Xu”,“年份”:“2023”,“期刊标题”:“IEEE Trans。模式分析。机器。智力。“},{”key“:”10.1016\/j.inffus.2023.102215_b39“,”series-title“:”通过交叉模态图像生成和注册进行未监督的未对准红外和可见光图像融合“,”author“:”Wang“,”year“:”2022“}”,{“key”:“10.1016\/j.inffus.2023.102215_bs0”,“doi-asserted-by”:“crossref”,“unstructured”:“”Han Xu,Jiayi Ma,Jiteng Yuan,Zhuliang Le,Wei Liu,Rfnet:用于相互增强的多模态图像注册和融合的无监督网络,收录于:IEEE计算机视觉和模式识别会议论文集,2022年,19679\u201319688.“,“DOI”:“10.1109\/CVPR52688.2022.01906”},{“key”:“101016\/j.inffus.2023.102215_b41”,“series-title“:“欧洲计算机视觉会议”,“首页”:“467”,“文章-标题”:“提升:学习的不变特征变换”,“作者”:“Yi”,“年份”:“2016”},{“键”:“10.1016\/j.inffus.2023.102215_b42”,“doi-asserted-by”:“crossref”,“第一页”:RIFT:基于辐射变化不敏感特征变换的多模式图像匹配”,“体积”:“29”,“作者”:“李”,“年份”:“2019”,“期刊标题”:“IEEE Trans。图像处理。“},{”key“:”10.1016\/j.inffus.2023.102215_b43“,”series-title“:”RIFT2:使用新的旋转方差技术加速RIFT“,”author“:”Li“,“year”:“2023”},“{”key“:“10.1016\/j.inffus.2023.102215_bs4”,“doi-asserted-by”:“crossref”,“first page”:“736”,“doi”:“10.1109\/TIP.2019.2934572”,“article-title”:“”使用具有重异常值的空间聚类的鲁棒特征匹配”,“卷”:“29”,“作者”:“江”,“年份”:“2019”,“期刊标题”:“IEEE Trans。图像处理。“},{”issue“:”2“,”key“:”10.1016\/j.infus.2023102215_b45“,”doi断言“:”crossref“,”首页“:”1577“,”doi“:”10.1109\/TGRS.2020.30001089“,”文章标题“:”通过线性自适应滤波实现遥感图像配准的鲁棒特征匹配“,”卷“:”59“,”作者“:”江“,”年份“:”2020“,”期刊标题“:”IEEE Trans.Geosci.remote Sens“},{“issue”:“2”,“key”:“10.1016\/j.inffus.2023.102215_b46”,“doi-asserted-by”:“crossref”,“first page”:”451“,“doi”:“101016\/S0031-3203(02)00060-2”,“article-title”:“The global k-means clustering algorithm”,”volume“:”36“,”author“:”Likas“,”year“:”2003“,”journal-title“:”Pattern Recognit.“},{”issue“:”6“,”key“:“10.1016\/j.inffus.2023.102215_b47”,“doi-asserted-by”:“crossref”,“first page”:“3233”,“doi”:“10.1016\/j.csda.2007.09.007”,“article-title”:“Bernoulli混合模型的块聚类:不同方法的比较”,“volume”:”52“,“author”:“Govaert”,“year”:“2008”,“journal-title“:”Compute.Statist.Data Anal.“},{”issue“:”4“,”key“:”10.1016\/j.inffus.2023.10215_b48“,“doi-asserted-by”:“crossref”,“first page”:“339”,“doi”:“10.1023\/A:1008981510081”,“article-title”:“使用t分布的稳健混合建模”,“volume”:”10“,“author”:“Peel”,“year”:“2000”,“journal-title“:”Stat.Comput.“},{”key“10.1016\/j.inffus.2023.102215_b49”,“首页”:“171”,”article-title“:“包括正态分布的一类分布”,“author”:“Azzalini”,“year”:“1985”,“journal-title”:“Scand.J.Stat.”},{“issue”:“4”,“key”:“10.1016\/J.inffus.2023.102215_b50”,“doi-asserted-by”:“crossref”,“first-page”:“715”,“doi”:“10.,“作者”:“Azzalini”,“year”:“1996”,“journal-title”:“Biometrika”},{“issue”:“21”,“key”:“10.1016\/j.inffus.2023.102215_b51”,“doi-asserted-by”:“crossref”,“first page”:”8519“,“doi”:“101073\/pnas.0903028106”,“article-title“:”自动高维流式细胞术数据分析“,”volume“:”106“,”author“:”Pyne“,”year“:”2009“,”新闻标题“:“Proc.Natl.Acad.Sci.”},{“key”:“10.1016\/j.inffus.2023.102215_b52”,“doi-asserted-by”:“crossref”,“非结构化”:“夏丽,钟志胜,吴建龙,杨一波,林周晨,刘洪,语义切分的期望最大化注意网络,收录于:IEEE计算机视觉国际会议论文集,2019年,第9167\u20139176页。”,“DOI”:“10.1109\/ICCV.2019.00926”},{“key”:“101016\/j.inffus.2023.102215_b53”,“series-title”:“用于大规模图像识别的极深卷积网络”,“author”:“Simonyan”,“year”:“2014”},{“key”:“10.1016\/j.inffus.2023.102215_b54”,“article-title”:“Sinkhorn distancess:Lightspeed calculation of optimal transport”,“volume”:”26“author:”Cuturi“,”year“:”2013“,”journal-title“:”Adv.Neural Inf.Process.Syst.“},”{“issue”:“4”,“key“:“10.1016\/j.inffus.2023.102215_b55”,“doi-asserted-by”:“crossref”,“首页”:“600”,“doi”:“10.1109\/TIP.2003.819861”,“文章标题”:“图像质量评估:从错误可见性到结构相似性”,“卷”:“13”,“作者”:“王”,“年份”:“2004”,“日志标题”:《IEEE Trans.Image Process.》},{“问题”:“1”,“key”:“10.1016\/j.inffus.2023.102215_b56”,“article-title”:“基于傅里叶级数估计器中三种形式的三角函数的半参数回归”,“volume”:“1277”,“author”:“Mardianto”,“year”:“2019”,“journal-title“:j.Phys.:Conf.Ser.”},{“key”::“何开明,张祥宇,任少清,孙健,深入研究整流器:在图像网络分类方面超越人类水平的性能,摘自:IEEE国际计算机视觉会议论文集,2015年,第1026\u20131034页。”},{“key”:“10.1016\/j.inffus.2023.102215_b58”,“series-title”:“深度度量学习中的平均场理论”,“author”:“Furusawa”,“year”:“2023”},{“issue”:“14”,“key”:“10.1016\/j.inffus.2023.102215_b59”,“doi-asserted-by”:“crossref”,”doi“:”10.1103\/PhysRevLett.130.141501“,”article-title“:”张量群场理论量子引力中的平均场相变“,”volume“:”130“,”author“:”Marchetti“,”year“:”2023“,”journal-title:“Physis.Rev.Lett.“},{”键“:“10.1016\/j.inffus.2023.102215_b60”,“非结构化”:“Mark Everingham,John Winn,PASCAL visual object classes challenge 2012(VOC2012)开发工具包,收录于:Pattern Anal.Stat.Model.Compute.Learn.,Vol.2007,Tech.Rep.,2012,pp.1\u201345.”},{“key”:“10.116\/j.inffus.2023.10215_b61”,“series-title”:“欧洲计算机视觉会议”,“首页”:“740”,“article-title”:“Microsoft coco:上下文中的常见对象”,“作者”:“Lin”,“年份”:“2014”},{“问题”:“2\u20133”,“密钥”:“10.1016\/j.inffus.2023.102215_b62”,“doi-asserted-by”:“crossref”,”首页“:”162“,”doi“:”10.1016\/j.cviu.2006.010“,”article-title“:“背景-利用热图像和可见图像的基于轮廓的融合进行背景提取”,“卷”:“106”,“作者”:“Davis”,“年份”:“2007”,“日志标题”:“Compute.Vis.Image Underst.”},{“key”:“10.1016\/j.inffus.2023.102215_b63”,“doi-asserted-by”:“crossref”,”unstructured“:“贾新余,朱创,李敏珍,汤文琪,周文丽,LLVIP:一个用于微光视觉的可见红外成对数据集,收录于:IEEE计算机视觉国际会议论文集,2021年,第3496\u20133504页。”,“DOI”:“10.1109\/ICCVW54120.2021.00389”},{“key”:“101016\/j.inffus.2023.102215_b64”,“series-title”:“Computer Vision\u2014ECCV 2002:第七届欧洲计算机视觉会议哥本哈根,丹麦,5月28日\u2013312002年会议记录,第一部分7”,“首页”:“128”,“文章标题”:“仿射不变兴趣点检测器”,“作者”:“Mikolajczyk”,“年份”:“2002”},{“issue”:“10”,“key”:“10.1016\/j.inffus.2023.102215_b65”,“doi-asserted-by”:“crossref”,“首页”:“1615”,“DOI”:“10.1109\/TPAMI.2005.188”,“article-title”:“局部描述符的性能评估”,“volume”:“27”,“author”:“Mikolajczyk”,“year”:“2005”,“journal-title“:”IEEE Trans.Pattern Anal.Mach.Intell.“},{”key“:”10.1016\/j.inffus.2023.102215_b66“,”DOI-asserted-by“:”crossref“,”首页“:”199“,“内政部“:“10.1016\/j.optcom.2014.12.032”,“article-title”:“利用区域显著性提取和多尺度图像分解实现可见光和红外图像的细节保留融合”,“volume”:“341”,“author”:“Cui”,“year”:“2015”,“journal-title“:Opt.Commun.”},{“issue”:“7”,“key”:”10.1016\/j.inffus.2023.102215_b67“doi-asserted-by”:“crossref”,“first page”:“1”,“DOI”:“10.1049\/el:20020212”,“article-title”:“图像融合性能的信息度量”,“volume”:“38”,“author”:“Qu”,”year“:“2002”,“journal-title“:”Electron.Lett.“},{”key“:”10.1016\/j.inffus.2023.102215_b68“,”DOI-asserted-by“:”crossref“,”first page“:“物品标签”:“融合图像质量指标综述”,“卷”:“4”,“作者”:“贾加林加姆”,“年份”:“2015”,“期刊标题”:“Aquat.Proc.”},{“key”:“10.1016\/j.inffus.2023.102215_b69”,“series-title”:“Segment anything”,“author”:“Kirillov”,“year”:“2023”}:“ViTPose+:用于一般身体姿势估计的视觉变换器基础模型”,“author”:“Xu”,“year”:“2022”},{“key”:“10.1016\/j.inffus.2023.102215_b71”,“doi-asserted-by”:“crossref”,“unstructured”:“Wei Yin,Jianming Zhang,Oliver Wang,Simon Niklaus,Long Mai,Simon Chen,Chunhua Shen,Learning to recover 3d scene shape from an single image,in:IEEE计算机视觉与模式识别会议论文集,2021,pp.204\u2013213.”,“DOI”:“10.1109\/CVPR46437.2021.00027”},{“key”:“101016\/j.inffus.2023.102215_b72”,“series-title”:“第十二届ACM多媒体系统会议论文集-MMSys\u201821”,“article-title”:“AliceVision meshroom:开源3D重建管道”,“author”:“Griwodz”,“year”:“2021”},{“issue”:“10”,“key”:”10.1016\/j.inffus.2023.102215_b73“,”doi-asserted-by“:”crossref“,”first page“:”4774“,”doi“:”10.1109\/TIP.2019.2909640“,“article-title”:“基于图像的三维重建局部特征性能评估”,“volume”:“28”,“author”:“Fan”,“year”:“2019”,“journal-title“:”IEEE Trans.image Process.“},{”issue“:”3“,”key“:”10.1016\/j.inffus.2023.102215_b74“,”doi-asserted-by“:”crossref“,”first page“:“2350”,”doi“:”101109\/TITS.2021.3086822“,”article-title“:“通过位置驱动的精确运动场学习进行基于外观的回路闭合检测”,“卷”:“23”,“作者”:“张”,“年份”:“2021”,“日志标题”:“IEEE Trans.Intell.Trans.Syst.”},{“键”:“10.1016\/j.inffus.2023.102215_b75”,“doi-asserted-by”:“crossref”,“非结构化”:“聂银玉,侯继光,韩晓光,聂马提亚斯·内尔,Rfd-net:通过语义实例重构进行点场景理解,收录于:IEEE计算机视觉与模式识别会议论文集,2021年,第4608\u20134618页。”,“DOI”:“10.1109\/CVPR46437.2021.00458”},{“issue”:“518”,“key”:“101016\/j.inffus.2023.102215_b76”,“doi-asserted-by”:“crossref”,“first page”:“859”,“doi”:“10.1080\/01621459.2017.1285773”,“article-title”:“变分推理:统计学家综述”,“volume”:《112》,“author”:“Blei”,“year”:“2017”,“journal title”:《美国统计学会》},{“key”:”10.1016\/J.inffus.2023.102215_b77“,”series-title“智能计算国际会议”,“first page”:“552”,“article-title”:“student-t混合高斯过程的变分EM算法”,“author”:“Guo”,“year”:“2021”}],“container-tittle”:[“Information Fusion”],“original-title“:[],“language”:“en”,“link”:[{“URL”:“https:\/\/api.elsevier.com/content\/article\/PII:S156625323005316?httpAccept=text\/xml”,“content-type”:“text\/.xml”“”,“内容版本”:“vor”,“预期应用程序”:“文本挖掘”},{“URL”:“https:\/\/api.elsevier.com/content\/article\/PII:S156253523005316?httpAccept=text\/plain”,“内容类型”:“text\/plain”,“内容版本”:“vor”,“预期应用程序”:“文本挖掘”}],“存放”:{“日期部分”:[[2024,2,3]],“日期-时间”:“2024-02-03T19:42:30Z”,“时间戳”用法:1706989350000},“score”:1,“resource”:{“primary”:{“URL”:“https:\/\/linkinghub.elsevier.com/retrieve\/pii\/S1566253523005316”}},”subtitle“:[],”shorttitle“:[],”issued“:{”date-parts“:[2024,5]]},'references-count“:77,”alternative-id“:[”S156625323005316“],”URL“:”http://\/dx.doi。org\/10.1016\/j.inffus.2023.102215“,”关系“:{},”ISSN“:[”1566-2535“],“issn-type”:[{“value”:“1566-2535”,“type”:“print”}],“subject”:[],“published”:{“date-parts”:[[2024,5]]},“assertion”:[[{”value“:”Elsevier“,”name“:”publisher“,”label“:”此文章由“}维护,{“value”:“RA-MMIR:鲁棒自适应变体注意量规域的多模态图像注册”,“name”:“articletite”,“label”:“article Title”},{“value”:“Information Fusion”,“name”:“journaltle”,“label”:“Journal Title”}“”:“版权”,“标签”:“版权所有”}],“文章编号”:“102215”}}