Image Segmentation - Semantic Segmentation: FCN and Unet

FCN network

insert image description here
insert image description here
In short, the difference between FCN and CNN is: the CNN convolutional layer is connected to the fully connected layer; the FCN convolutional layer is still connected to the convolutional layer, and the output is a feature map of the same size as the input

network structure

insert image description here

full convolution part

insert image description here
insert image description here
insert image description here

upsampling part

insert image description here
insert image description here
insert image description here

Skip connection

insert image description here
insert image description here
It can be seen that the more upsampling is done, the finer the segmentation result

Summarize

insert image description here

Unet network

The Unet network is based on the FCN network. Its network architecture is shown in the figure below. Generally speaking, it is very similar to the idea of ​​FCN.
insert image description here
insert image description here
insert image description here

Guess you like

Origin blog.csdn.net/qq_40527560/article/details/131848611