Learning Deconvolution Network for Semantic Segmentation
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原文题目：Learning Deconvolution Network for Semantic Segmentation（ ICCV, 2015）
开源地址：http://cvlab.postech.ac.kr/research/deconvnet/
本篇文章主要是做图像分割，和Fully Convolutional Networks for Semantic Segmentation有些类似。
不同之点在于，本文构造了一个Convolution-deconvolution网络，convolution层主要用于特征提取和泛化，而deconvolution层，添加了特殊的unpooling层，相当于pooling的逆操作，还原图像大小。
整体网络结构如下:
结果如下![]()
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