Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification-Reference-Cited by-同舟云学术

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Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification

Published:2019-06 Issue: Volume:90 Page:99-108
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Li Yi^ORCID,Song Lingxiao,Wu Xiang^ORCID,He Ran^ORCID,Tan Tieniu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference47 articles.

1. Hybrid deep learning for face verification;Sun,2013

2. Deepface: Closing the gap to human-level performance in face verification;Taigman,2014

3. Deep learning face representation by joint identification-verification;Sun,2014

4. Multi-spectral low-rank structured dictionary learning for face recognition;Jing;Pattern Recognit.,2016

5. Multi-task convnet for blind face inpainting with application to face verification;Zhang,2016

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2. Bi-EvoGAN: Bi-level Evolutionary Approach for Generative Adversarial Networks;Applied Soft Computing;2023-11

3. Identity-Aware Contrastive Knowledge Distillation for Facial Attribute Recognition;IEEE Transactions on Circuits and Systems for Video Technology;2023-10

4. DBO-Net: Differentiable bi-level optimization network for multi-view clustering;Information Sciences;2023-05

5. Multi-Zone Transformer Based on Self-Distillation for Facial Attribute Recognition;2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG);2023-01-05

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