Disentangled representation learning and residual GAN for age-invariant face verification

Author:

Zhao Shuyang,Li JianwuORCID,Wang Jiaxing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference55 articles.

1. Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning;Huang;Pattern Recognit.,2015

2. Cross Euclidean-to-Riemannian metric learning with application to face recognition from video;Huang;IEEE Trans. Pattern Anal. Mach. Intell.,2018

3. Learning structured ordinal measures for video based face recognition;He;Pattern Recognit.,2018

4. Recurrent face aging;Wang,2016

5. Illumination-aware age progression;Kemelmacher-Shlizerman,2014

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1. Age-Invariant Cross-Age Face Verification using Transfer Learning;Inteligencia Artificial;2024-05-17

2. Cross-Age Contrastive Learning for Age-Invariant Face Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors;IEEE Transactions on Neural Networks and Learning Systems;2024

4. AIFR: Face Recognition Research Based on Age Factor Characteristics;Lecture Notes in Computer Science;2024

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