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典型文献

Dual Variational Generation Based ResNeSt for Near Infrared-Visible Face Recognition

文献摘要：

Near infrared-visible ( NIR-VIS) face recognition is to match an NIR face image to a VIS image. The main challenges of NIR-VIS face recognition are the gap caused by cross-modality and the lack of sufficient paired NIR-VIS face images to train models. This paper focuses on the generation of paired NIR-VIS face images and proposes a dual variational generator based on ResNeSt ( RS-DVG ) . RS-DVG can generate a large number of paired NIR-VIS face images from noise, and these generated NIR-VIS face images can be used as the training set together with the real NIR-VIS face images. In addition, a triplet loss function is introduced and a novel triplet selection method is proposed specifically for the training of the current face recognition model, which maximizes the inter-class distance and minimizes the intra-class distance in the input face images. The method proposed in this paper was evaluated on the datasets CASIA NIR-VIS 2. 0 and BUAA-VisNir, and relatively good results were obtained.

文献关键词：

中图分类号：

[1] 自动化技术、计算机技术（TP） / 计算技术、计算机技术（TP3） / 计算机的应用（TP39） / 信息处理(信息加工)（TP391）

[2] 自动化技术、计算机技术（TP） / 计算技术、计算机技术（TP3） / 计算机的应用（TP39） / 信息处理(信息加工)（TP391） / 模式识别与装置（TP391.4）

[3] 天文学、地球科学（P） / 地球物理学（P3） / 空间物理（P35）

作者姓名：

DING Xiangwu;LIU Chao;QIN Yanxia

作者机构：

College of Computer Science and Technology,Donghua University,Shanghai 201620,China

文献出处：

东华大学学报（英文版）

引用格式：

[1]DING Xiangwu;LIU Chao;QIN Yanxia-.Dual Variational Generation Based ResNeSt for Near Infrared-Visible Face Recognition)[J].东华大学学报（英文版）,2022(02):156-162

A类：

DVG,BUAA,VisNir

B类：

Dual,Variational,Generation,Based,ResNeSt,Near,Infrared,Visible,Face,Recognition,infrared,visible,NIR,VIS,face,recognition,match,main,challenges,gap,caused,by,cross,modality,lack,sufficient,paired,images,models,This,paper,focuses,generation,proposes,dual,variational,generator,RS,can,large,number,from,noise,these,generated,training,together,real,addition,triplet,loss,function,introduced,novel,selection,method,proposed,specifically,current,which,maximizes,inter,class,distance,minimizes,intra,input,this,was,evaluated,datasets,CASIA,relatively,good,results,were,obtained

AB值：

0.469352

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