deep learning for face detection

更新： 我把用alex-net finetune的aflw model 放在百度云盘上，欢迎大家下载： http://pan.baidu.com/s/1i38IAIp. 

deep learning 如何实现face detection呢？ 这里介绍yahoo最新的一篇论文Multi-view Face Detection Using Deep Convolutional Neural Networks. 个人写了代码实现，实现效果还不错， 代码：https://github.com/guoyilin/FaceDetection_CNN

实验步骤：

1. Image Preprocess aflw dataset[1]. Use iou>=0.5 as positive, iou<=0.3 as negative.

2. Fine-tune Alex-Net using AFLW dataset.

3. Convert fully connected layers into convolutional layers by reshaping layer parameters, see [2]

4. Get heat map for each scale of image.

5. Process heat map by using non-maximal suppression to accurately localize the faces.

Reference:

 [1]https://lrs.icg.tugraz.at/research/aflw/

[2] http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/net_surgery.ipynb

Reference:

1.csdn:http://blog.csdn.net/guoyilin/article/details/46347271

2.code:https://github.com/guoyilin/FaceDetection_CNN

更新： 我把用alex-net finetune的aflw model 放在百度云盘上，欢迎大家下载： http://pan.baidu.com/s/1i38IAIp. 

deep learning 如何实现face detection呢？ 这里介绍yahoo最新的一篇论文Multi-view Face Detection Using Deep Convolutional Neural Networks. 个人写了代码实现，实现效果还不错， 代码：https://github.com/guoyilin/FaceDetection_CNN

实验步骤：

1. Image Preprocess aflw dataset[1]. Use iou>=0.5 as positive, iou<=0.3 as negative.

2. Fine-tune Alex-Net using AFLW dataset.

3. Convert fully connected layers into convolutional layers by reshaping layer parameters, see [2]

4. Get heat map for each scale of image.

5. Process heat map by using non-maximal suppression to accurately localize the faces.

Reference:

 [1]https://lrs.icg.tugraz.at/research/aflw/

[2] http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/net_surgery.ipynb

Reference: