Squeeze-and-Excitation

Squeeze-and-Excitation Networks:SENet,早期cv中粗糙的注意力

Squeeze-and-Excitation Networks * Authors: [[Jie Hu]], [[Li Shen]], [[Samuel Albanie]], [[Gang Sun]], [[Enhua Wu]] Local library 初读印象 comment:: (SENet ......

Squeeze-and-Excitation Networks(SENet)

结构和代码如下(参考:b站视频:YOLOv5 v6.1添加SE,CA,CBAM,ECA注意力机制教学,即插即用): Global pooling:每个channel上面的所有点做平均,这样每个channel都输出一个数。所以左图中,HxWxC变成了1x1xC。(参考:关于global average ......
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