CBAM attention

CBAM attention是指Convolutional Block Attention Module的注意力机制。CBAM模块结合了空间和通道的注意力机制，与SE-Net不同，它不仅关注通道信息，还关注空间信息，从而可以获得更好的效果。CBAM模块的主要目标是通过使用注意力机制来提高网络的特征表达能力，即通过集中关注重要的特征并抑制不必要的特征来提高表达能力。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [深入理解CV中的Attention机制之CBAM](https://blog.csdn.net/qq_34554039/article/details/122892781)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* [attention机制（SE-Net、CBAM及Triplet）](https://blog.csdn.net/weixin_40836993/article/details/109173862)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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