DFH-GAN: A Deep Face Hashing with Generative Adversarial Network

A comprehensive survey on semantic facial attribute editing using generative adversarial networks

“…For example, it may be needed to retrieve images of a person from an enormous database of face images captured by CCTV cameras. As an example of such models, Deep Face Hashing with GAN (DFH-GAN) is a hashbased approach for face image retrieval [214]. It consists of three modules: a generator to perform data augmentation, a discriminator with a shared CNN to learn multi-domain facial attributes, and a hash encoding component to generate hash codes.…”