2D attention
时间: 2023-09-14 10:13:06 浏览: 57
2D attention是一种用于处理不规则场景文本识别的注意力机制。它在文献中被提到。自注意力是一种非局部的注意力机制,而2D attention则是自注意力在Embedded Gaussian中的特例。2D attention模块的结构包括缩放因子和通道注意力模块。缩放因子可以学习到更大的值来调整加权和的范围,通道注意力模块用于对各个位置特征和原始特征进行加权和处理。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [2D Attention Network for Scene Text Recognition](https://blog.csdn.net/francislucien2017/article/details/96435853)[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%"]
- *2* *3* [5种2D Attention整理(Non-Local、Criss-Cross、SE、CBAM、Dual-Attention)](https://blog.csdn.net/weixin_45657478/article/details/125526261)[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%"]
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