We propose the Disentangled Representation-learning Wasserstein GAN (DR-WGAN) trained on augmented data for face recognition and face synthesis across pose. We improve …
Face recognition has emerged as one of the most prominent tasks for deep learning algorithms over the past decade. With a carefully designed pipeline, the face recognition …
GS Jison Hsu, CH Tang… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Abstract We propose the Disentangled Representation-learning Wasserstein GAN (DR- WGAN) trained on augmented data for face recognition and face synthesis across pose. We …
K Grm - Elektrotehniski Vestnik, 2020 - ev.fe.uni-lj.si
Postopki superresolucije so se izkazali kot izjemno uporabni na podrocju obraznih slik, saj lahko z njimi izboljšamo kakovost slik nizke locljivosti oziroma slik, podvrzenih drugim …
Face recognition has been an active research topic in the field of computer vision. Face recognition is currently being used for applications such as law enforcement, security, and …