比yolov5性能好的transformer

引用\[1\]: Swin Transformer是一篇论文中提出的一种基于Transformer的图像分类模型，它在图像分类任务上取得了很好的效果。引用\[2\]: TPH-YOLOv5是一篇基于Transformer的改进YOLOv5的无人机目标检测论文，它在无人机目标检测任务上取得了比YOLOv5更好的性能。引用\[3\]: TPH-YOLOv5论文提供了对应的PyTorch实现，可以通过该实现来进行实验和应用。综上所述，TPH-YOLOv5是一种比YOLOv5性能更好的基于Transformer的目标检测模型。
#### 引用[.reference_title]
- *1* [改进YOLOv5系列：3.YOLOv5结合Swin Transformer结构，ICCV 2021最佳论文 使用 Shifted Windows 的分层视觉...](https://blog.csdn.net/qq_38668236/article/details/126122888)[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_2,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captu](https://blog.csdn.net/symuamua/article/details/120315916)[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_2,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [深度学习论文: TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head 及其PyTorch实现](https://blog.csdn.net/shanglianlm/article/details/120281873)[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_2,239^v3^insert_chatgpt"}} ] [.reference_item]
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