Pseudo Label Association and Prototype-Based Invariant Learning for Semi-Supervised NIR-VIS Face Recognition
Author:
Affiliation:
1. School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/83/10346232/10438381.pdf?arnumber=10438381
Reference72 articles.
1. Learning Invariant Deep Representation for NIR-VIS Face Recognition
2. Dual Adversarial Disentanglement and Deep Representation Decorrelation for NIR-VIS Face Recognition
3. Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
4. Transferring deep representation for NIR-VIS heterogeneous face recognition
5. LAMP-HQ: A Large-Scale Multi-pose High-Quality Database and Benchmark for NIR-VIS Face Recognition
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