transformer结合yolov5

根据提供的引用内容来看，Transformer结合Yolov5的具体细节可能需要更多的信息。引用提到了一篇论文《Bottleneck Transformers for Visual Recognition》，但并未提及与Yolov5的结合。而引用则提到了Yolov5口罩检测模型，该模型已融合了attention机制，能够较高地识别人脸是否佩戴口罩。但是这里并未提到具体与Transformer的结合。因此，根据所提供的信息，无法得知Transformer与Yolov5的具体结合方式及细节。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [目标检测算法——YOLOv5/YOLOv7改进结合BotNet（Transformer）](https://blog.csdn.net/m0_53578855/article/details/124187294)[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* [yolov5目标检测模型 (融合transformer+已调参优化）](https://download.csdn.net/download/m0_62577716/86845253)[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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