no code implementations • 19 Sep 2017 • Xiang Xu, Pengfei Dou, Ha A. Le, Ioannis A. Kakadiaris
Extensive experiments are conducted on the UHDB31 and IJB-A, demonstrating that UR2D outperforms existing 2D face recognition systems such as VGG-Face, FaceNet, and a commercial off-the-shelf software (COTS) by at least 9% on the UHDB31 dataset and 3% on the IJB-A dataset on average in face identification tasks.