Swin-Transformer目标检测代码

Swin-Transformer目标检测的代码可以在GitHub上找到。这是一个官方实现的项目，地址是GitHub - SwinTransformer/Swin-Transformer-Object-Detection。\[1\]Swin-Transformer是一种新型的Transformer模型，它采用了分层的方式来处理图像信息，从而减少了模型的计算量，同时提高了模型的精度。\[2\]在目标检测方面，可以使用Swin-Transformer来设计小目标检测头，以提高YOLOv5在小目标检测方面的能力。\[2\]具体的代码实现包括环境搭建、预训练模型的准备、数据集的准备、代码的修改、训练命令等步骤。\[3\]你可以根据这些步骤来进行Swin-Transformer目标检测的代码实现。
#### 引用[.reference_title]
- *1* [Swin Transformer 代码学习笔记(目标检测)](https://blog.csdn.net/athrunsunny/article/details/124936790)[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^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [Swin-Transformer小目标检测头在YOLOv5上的优化](https://blog.csdn.net/wellcoder/article/details/130908136)[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^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [Swin-Transformer目标检测](https://blog.csdn.net/weixin_45977690/article/details/127127228)[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^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]