A Unified Framework for Age-Invariant Face Recognition Using GANs and Vision Transformers

Age-invariant face recognition (AIFR) remains a persistent challenge in computer vision due to significant facial changes over time. While existing methods tackle this problem using either generative age simulation, contrastive embedding alignment, or feature disentanglement independently, they fall...

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Autors principals:	Pratik Chakraborty, Sriram Sunderrajan, Shaik Nurul Ameen, Ashalatha Nayak, Muralikrishna S. N
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Open Journal of the Computer Society
Matèries:	Age-invariant face recognition contrastive loss CycleGAN deep learning Siamese networks synthetic aging
Accés en línia:	https://ieeexplore.ieee.org/document/11498595/
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