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分層蒸餾解耦網(wǎng)絡(luò)的低分辨率人臉識別算法

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Hierarchical knowledge distillation decoupling network for low-resolution face recognition algorithm

Zhong Rui?, Song Yafeng, Zhou Xiaokang (SchoolofMathematics&Computer Science,GannanNormal University,Ganzhou Jiangxi341ooo,China)

Abstract:Alargenumberoffacial detail features arelostinlow-resolutionface images,which makes therecognitionrateof manyclassical facerecognition models with goodperformancedecrease sharplyToaddressthisproblem,thispaperproposed ahierarchicalknowledgedistilationdecoupling(HKDD)network.Firstly,theconvolutionallayersoftheteachernetworkand thestudentnetworkperformed hierarchicalfeaturedistilltiontoenhancethestudentnetwork’sfeaturedescriptionabilityfor low-resolutionsamples.Thisdistilltionensuredthatthelow-resolutionfacefeatures extractedbytheintermediatelayersof the studentnetworkcloselyapproximatedthehigh-resolutionfacefeatures extractedbytheintermediatelayersof theteachernetwork,effectivelytransferingthepowerfulfeaturedescriptionabilityoftheteahernetwork’sintermediatelayerstothestudent network.Subsequently,the softmax layers of theteachernetwork andthe student network performed decoupling distlation, spliting thedistillaionlossattesofmaxlayerintotargetcassdistillationlossndon-targetclassdistillationlosedecoupling distilationcould playaguidingroleinthetrainingof student networksbyleveragingthesuppessdnon-targetdistillationloss,sothatthesudentnetworkcouldlearntheclasificationabilityofuniversalfacialfeaturesundertheguidanceof theteachernetwork,therebyensuringthatthestudentnetworkhasstrongclasificationabilityinunrestrictedscenes.Finally, byconducting validation experiments on several low-resolution face datasets,such as TinyFace and QMUL-SurvFace,the HKDD model demonstrates superior performance intermsof recognitionrateandreal-time performancecompared tootherrepresentativelow-resolutionfacerecognition models.Theexperimentalresultsconfirmtheefectivenessof HKDD in handling low-resolution face recognition tasks.

Keywords:low-resolutionfacerecognition;hierarchicalknowledgedistilationdecouplingnetwork;hierarchicalfeaturedis tillation;decoupling distillation;unrestricted scenes

0 引言

目前人臉識別技術(shù)已廣泛應(yīng)用于門禁、考勤、支付以及安防監(jiān)控等場景。(剩余21238字)

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