论文阅读笔记之——《Image Restoration via Residual Non-local Attention Networks》
先给出paper的连接：https://arxiv.org/pdf/1903.10082v1.pdfgit 代码：https://github.com/yulunzhang/RNANgithub 这篇论文感受跟SAN的骨架有点相似，相对于SAN用了一个协方差pooling，而这篇论文仅仅加了non-local的结构。可是所设计的Trunk 分支和mask分支或许能够进一步讨论两个分支的交互的意义设
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相关文章
- 1. 《Pyramid Attention Networks for Image Restoration》阅读笔记
- 2. MyDLNote - Enhancement : [NLA系列] Image Restoration via Residual Non-local Attention Networks
- 3. 论文阅读笔记之——《Image Super-Resolution Using Very Deep Residual Channel Attention Networks》RCAN
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