Viet-Anh on Software Logo

What is: Meta Face Recognition?

SourceLearning Meta Face Recognition in Unseen Domains
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Meta Face Recognition (MFR) is a meta-learning face recognition method. MFR synthesizes the source/target domain shift with a meta-optimization objective, which requires the model to learn effective representations not only on synthesized source domains but also on synthesized target domains. Specifically, domain-shift batches are built through a domain-level sampling strategy and back-propagated gradients/meta-gradients are obtained on synthesized source/target domains by optimizing multi-domain distributions. The gradients and meta-gradients are further combined to update the model to improve generalization.