YOLOv7添加注意力机制

YOLOv7可以通过添加注意力机制来改进其性能。目前有两种常用的注意力机制：SimAM和CBAM。SimAM是一种简单有效的改进方法，可以通过在YOLOv7的模型定义中添加SimAM注意力机制来实现。具体做法是在YOLOv7的定义中增加一个SimAM模块，然后在forward函数中使用SimAM注意力机制对输出进行处理。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *3* [改进YOLOv7系列：引入SimAM注意力机制](https://blog.csdn.net/wellcoder/article/details/131016210)[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^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [YOLOV7改进--添加CBAM注意力机制](https://blog.csdn.net/qq_43114108/article/details/126019017)[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^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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