版权声明: https://blog.csdn.net/gwplovekimi/article/details/84851871
本博文是MWCNN的阅读笔记,论文的链接:https://arxiv.org/pdf/1805.07071.pdf
代码:https://github.com/lpj0/MWCNN
通过参考代码,对该网络在pytorch框架下进行复现
incorporating residual block in each level of the encoder and decoder(在编码器和解码器中加入residual block)