Shock Jiang's Blog
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理解卷积神经网络

written by shock November 3, 2017

 

 

refs:

  • http://blog.csdn.net/whiteinblue/article/details/43312059
  • http://blog.csdn.net/sinat_29552923/article/details/72638731
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U-Net: Convolutional Networks for Biomedical Image Segmentation

written by shock November 3, 2017

UNet是很多网络结构的母结构,例如Flownet;文章的主要贡献(就我的理解)在于U型结构:把传统卷积网络学到的高层次特征和原始图片的源信息结合在一起。

paper link: https://arxiv.org/abs/1505.04597

further reading: https://leanote.com/api/file/getImage?fileId=57a1358aab644135ea03a5e7

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