qmul-tinyface.github.io - QMUL-TinyFace

tinyface; qmul native low- (1) tinyface; qmul native low-

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TinyFace: Face Recognition in Native Low-resolution Imagery

Zhiyi Cheng         Xiatian Zhu         Shaogang Gong Computer Vision Group, School of Electronic Engineering and Computer Science, Queen Mary University of London Home Description We create a large scale face recognition benchmark, named TinyFace, to facilitate the investigation of natively LRFR at large scales (large gallery population sizes) in deep learning. The TinyFace dataset consists of 5,139 labelled facial identities given by 169,403 native LR face images (average 20×16 pixels) designed for 1:N re

TinyFace Dataset and Evaluation Codes: (148MB): [ Google Drive ] [ Baidu Cloud ]