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What is Age-Invariant Face Embedding Method about?

This document presents a novel approach for age-invariant face embedding using multitask learning and a Wasserstein distance discriminator to effectively disentangle age and identity embeddings in facial images. The proposed method, called Wasserstein Mutual Information for Age Invariant (WMI-AI), aims to enhance face verification accuracy in datasets with significant age differences by minimizing mutual information between age and identity features. Extensive evaluations demonstrate that this approach outp

Author

sans0802k

Language

EN