Learning deep representation from coarse to fine for face alignment

arXiv preprint arXiv:1608.00207, 2016.

Cited by: 15|Views5

Abstract:

In this paper, we propose a novel face alignment method that trains deep convolutional network from coarse to fine. It divides given landmarks into principal subset and elaborate subset. We firstly keep a large weight for principal subset to make our network primarily predict their locations while slightly take elaborate subset into accou...More

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