An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification

Boyu Lu; Jun-Cheng Chen; Carlos D. Castillo; Rama Chellappa

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An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification

机译：协变量对无约束人脸验证的影响的实验评估

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Covariates are factors that have a debilitating influence on face verification performance. In this paper, we comprehensively study two covariate related problems for unconstrained face verification: first, how covariates affect the performance of deep ne

机译：协变量是对人脸验证性能产生不利影响的因素。在本文中，我们针对无约束的人脸验证全面研究了两个与协变量相关的问题：首先，协变量如何影响深度神经网络的性能

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《IEEE Transactions on Biometrics, Behavior, and Identity Science 》 |2019年第1期| 42-55| 共14页
作者
Boyu Lu; Jun-Cheng Chen; Carlos D. Castillo; Rama Chellappa;
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作者单位

Department of Electrical and Computer Engineering University of Maryland College Park MD USA;

Center for Automation Research University of Maryland College Park MD USA;

De;

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原文格式 PDF
正文语种 eng
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关键词
Face; Face recognition; Training; Skin; Protocols; Noise measurement;

机译：面对;人脸识别;训练;皮肤;协议;噪音测量;

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7. An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification [O] . Boyu Lu, Jun-Cheng Chen, Carlos D. Castillo, 2019

机译：协调因子对无约束面核实影响的实验评价

An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification

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