From Facial Parts Responses to Face Detection: A Deep Learning Approach
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ICCV 2015 email to get code and model
http://personal.ie.cuhk.edu.hk/~ys014/projects/Faceness/Faceness.html
本文主要是用CNN进行人脸局部属性检测，然后各个部件综合起来得到人脸检测结果。
本文主要包含三个步骤：
3.1. Partness Maps Extraction 人脸部件提取
网络结构如下： 
其中我们提取5个人脸部件
3.2. Ranking Windows by Faceness Measure
This problem can be simply formulated as maximum a posteriori (MAP)
3.3. Face Detection
we refine these windows by joint training face classification and bounding
box regression using a CNN similar to the AlexNet [16].
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