Deep Learning of Graph Matching图匹配的深度学习

Deep Learning of Graph Matching图匹配的深度学习

ID:39076381

大小:617.59 KB

页数:10页

时间:2019-06-24

Deep Learning of Graph Matching图匹配的深度学习_第1页
Deep Learning of Graph Matching图匹配的深度学习_第2页
Deep Learning of Graph Matching图匹配的深度学习_第3页
Deep Learning of Graph Matching图匹配的深度学习_第4页
Deep Learning of Graph Matching图匹配的深度学习_第5页
资源描述:

《Deep Learning of Graph Matching图匹配的深度学习》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

1、DeepLearningofGraphMatchingAndreiZanfir2andCristianSminchisescu1,2andrei.zanfir@imar.ro,cristian.sminchisescu@math.lth.se1DepartmentofMathematics,FacultyofEngineering,LundUniversity2InstituteofMathematicsoftheRomanianAcademyAbstractmationthatcanbeusedtomodelcomplexrelationshipsandmorediv

2、ersetransformations.Graphmatchingoper-Theproblemofgraphmatchingundernodeandpair-ateswithaffinitymatricesthatencodesimilaritiesbetweenwiseconstraintsisfundamentalinareasasdiverseascom-unaryandpairwisesetsofnodes(points)inthetwographs.binatorialoptimization,machinelearningorcomputervi-Typi

3、callyitisformulatedmathematicallyasaquadraticin-sion,whererepresentingboththerelationsbetweennodestegerprogram[25,3],subjecttoone-to-onemappingcon-andtheirneighborhoodstructureisessential.Wepresentanstraints,i.e.eachpointinthefirstsetmusthaveanuniqueend-to-endmodelthatmakesitpossibletole

4、arnallparam-correspondenceinthesecondset.ThisisknowntobeNP-etersofthegraphmatchingprocess,includingtheunaryhardsomethodsoftensolveitapproximatelybyrelaxingandpairwisenodeneighborhoods,representedasdeepfea-theconstraintsandfindinglocaloptima[19,38].tureextractionhierarchies.Thechallengeis

5、intheformula-Learningtheparametersofthegraphaffinitymatrixhastionofthedifferentmatrixcomputationlayersofthemodelbeeninvestigatedby[7,20]or,inthecontextofthemoreinawaythatenablestheconsistent,efficientpropagationgeneralhyper-graphmatchingmodel[10],by[21].Inthoseofgradientsinthecompletepipe

6、linefromthelossfunc-cases,thenumberofparametersislow,oftencontrollingge-tion,throughthecombinatorialoptimizationlayersolvingometricaffinitiesbetweenpairsofpointsratherthantheim-thematchingproblem,andthefeatureextractionhierar-agestructureintheneighborhoodofthosepoints.Recentlychy.Ourcomp

7、utervisionexperimentsandablationstudiestherehasbeenagrowinginterestinusingdeepfeaturesforonchallengingdatasetslikePASCALVOCkeypoints,Sin-bothgeometricandsemanticvisualmatchingtasks,eithertelandCUBshowthatmatchingmodelsrefinedend-to-endbytrainingthenetworktodirectlyoptimizeamatch

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。