Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

使用卷积编码解码网络检测主要目标的边缘

网络结构是：
编码：VGG-16
解码：反池化-卷积-激活-dropout

卷积核:

The number of channels of every decoder layer is properly
designed to allow unpooling from its corresponding maxpooling layer.

dropout:

We also add a dropout layer after each relu layer in the decoder. A complete decoder network setup is listed in Table 1

损失函数：

loss function is simply the pixel-wise logistic loss.