3D-Aided Dual-Agent GANs for Unconstrained Face Recognition

摘要

Synthesizing realistic profile faces is beneficial for more efficiently training deep pose-invariant models for large-scale unconstrained face recognition, by augmenting the number of samples with extreme poses and avoiding costly annotation work. However