Deep Discriminative Feature Models (DDFMs) for Set Based Face Recognition and Distance Metric Learning
Author:
Affiliation:
1. Department of Electrical and Electronics Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey
2. Huawei Turkey R&D Center, AIE Department, Istanbul, Turkey
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/4359286/09888005.pdf?arnumber=9888005
Reference67 articles.
1. Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces
2. A Comprehensive Study on Center Loss for Deep Face Recognition
3. ArcFace: Additive Angular Margin Loss for Deep Face Recognition
4. A Discriminative Feature Learning Approach for Deep Face Recognition
5. UniformFace: Learning Deep Equidistributed Representation for Face Recognition
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