语义分割--Fully Convolutional DenseNets for Semantic Segmentation
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The One Hundred Layers Tiramisu:
Fully Convolutional DenseNets for Semantic Segmentation
CVPRW 2017
Code: https://github.com/SimJeg/FC-DenseNet
本文将 DenseNets 按照 FCN 方式用于 语义分割
首先看看 DenseNets 该网络主要由 dense block 构成
输入经过第一层网络处理得到 k 个 特征图,输出和 输入 concatenate 作为下一层输入,第二层的输出是 k 个 特征图,和第二层的输入 concatenate ,最后一层的输出是 k 个 特征图,和前三层的输出 concatenate ,得到 4*k feature maps
分割的架构
模块结构
FC-DenseNet103 model
CamVid dataset 结果
Gatech dataset 结果
图像分割效果
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