Abstract

The paper introduces a position attention module and a channel attention module to capture global dependencies in the spatial and channel dimensions respectively.

The proposed DANet adaptively integrates local semantic features using the self-attention mechanism.

摘要

本文引入了位置关注模块和通道关注模块，分别在空间和通道维度上捕捉全局依赖性。

所提出的DANet利用自注意力机制自适应地集成局部语义特征。

Outline

• Brief Review: attention mechanism, SE net
• DANet: Dual Attention Network
• Experiments: visualization and comparison
• Conclusion

大纲

• 回顾：注意机制、SENet
• DANet： 双重关注网络
• 实验：可视化和对比
• 结论

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