ECANet注意力机制

ECANet是一种卷积神经网络模型，它使用了注意力机制来提高网络对重要信息的关注程度。注意力机制可以使网络自适应地关注更加重要的信息，从而提高网络的性能。ECANet的注意力机制是通过ECA模块实现的，这个模块能够有效地对通道特征进行建模，提取出最具信息量的特征。通过ECA模块，ECANet能够自动地调整网络对不同通道特征的关注程度，从而提高网络的表达能力和性能。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [注意力机制（Attention Mechanism）-ECANet](https://blog.csdn.net/Aaaa_ZZZ/article/details/126771243)[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_1"}}] [.reference_item style="max-width: 50%"]
- *3* [[ 注意力机制 ] 经典网络模型3——ECANet 详解与复现](https://blog.csdn.net/weixin_45084253/article/details/124282580)[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_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]