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Deep Face Recognition
2015
Procedings of the British Machine Vision Conference 2015
The goal of this paper is face recognition -from either a single photograph or from a set of faces tracked in a video. Recent progress in this area has been due to two factors: (i) end to end learning for the task using convolutional neural networks (CNNs), and (ii) the availability of very large scale training datasets. We make two contributions: first, we show how a very large scale dataset (2.6M images spanning more than 2.6K identities) can be constructed by semi-automatic annotations with
doi:10.5244/c.29.41
dblp:conf/bmvc/ParkhiVZ15
fatcat:vhncyzl2dbd5fjmf6rama7oqia