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【论文阅读】Further Non-local and Channel Attention Networks for Vehicle Re-identification
2022-08-04 05:29:00 【≈落小朵】
问题: 类间差异小，类内差异大
提出：双分支自适应注意网络
在视觉皮层双流理论的启发下， 基于non-local和channel关系 ，构建了一个双分支FNC网络来捕获多种有用信息
(消除背景的影响)
Further Non-local and Channel attention (FNC) is constructed to simulate two-stream theory of visual cortex
提出了一种有效的 注意力融合方法 ，充分模拟了空间注意力和信道注意力的影响。
Proposed method
Then, we change the last spatial down-sampling operation stride from 2 to 1 to provide a large spatial view for the spatial attention module, thereby capturing highly detailed spatial correlations. ？？？？
The spatial attention block (SAB)
正常的non-local结构
中间是不是少写了一个公式，中间的相似图和T相乘的没有写，后面的 x? 是什么意思？
- 正常的non-local结构是直接相加在一起，但是这篇文章选择采用sigmoid函数激活（是可以获得更加显著的特征么）
利用sigmoid函数，可以增加权值对特征图的影响，并引入非线性因素（这部分-----）
通道注意力结构
SAB的作用不大
Then, we change the last spatial down-sampling operation stride from 2 to 1 to provide a large spatial view for the spatial attention module, thereby capturing highly detailed spatial correlations. 调整下采样的步长
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