Discriminative deep metric learning for face verification in the wild

This paper presents a new discriminative deep metric learning (DDML) method for face verification in the wild. Different from existing metric learning-based face verification methods which aim to learn a Mahalanobis distance metric to maximize the inter-class variations and minimize the intra-c...

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書目詳細資料
Main Authors: Hu, Junlin, Lu, Jiwen, Tan, Yap Peng
其他作者: School of Electrical and Electronic Engineering
格式: Conference or Workshop Item
語言:English
出版: 2015
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在線閱讀:https://hdl.handle.net/10356/100336
http://hdl.handle.net/10220/25706
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