分層蒸餾解耦網(wǎng)絡(luò)的低分辨率人臉識(shí)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(shí)別技術(shù)已廣泛應(yīng)用于門(mén)禁、考勤、支付以及安防監(jiān)控等場(chǎng)景。（剩余21238字）