Description: DeepFace article is still along the detection- alignment- face representation- classification of this face recognition technology line, its contribution to the face alignment and face representation of the improvement. 1) In the face alignment part, the 3D human face model is introduced to affine alignment of slices with face. 2) In the face representation session, using a 9-layer depth convolution on a data set containing 4,000 human faces and 4 million human faces, the 9-layer DCNN network has more than 120 million parameters. The model obtained 97.25 average precision (approximating the 97.5 limit of human) on the LFW dataset, and achieved the best result on the Youtube dataset, 12.7 higher than the previous NO.1
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DeepFace-master
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