An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification

IEEE Transactions on Biometrics, Behavior, and Identity Science(2019)

引用 61|浏览47
暂无评分
摘要
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 neural networks on the large-scale unconstrained face verification problem; second, how to utilize covariates to improve verification performance. ...
更多
查看译文
关键词
Face,Face recognition,Training,Skin,Protocols,Noise measurement
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要