yolov7 transformer

YOLOv7 Transformer是将YOLOv7与Swin Transformer V2相结合的目标检测算法。Swin Transformer V2是一种基于Transformer的新型模型结构，它具有更好的扩展性和可解释性，并突破了传统CNN的性能瓶颈。而YOLOv7是一种常用的目标检测算法，通过将Swin Transformer V2作为特征提取器，将其嵌入到YOLOv7的检测头中，可以在保持较小模型尺寸和参数数量的同时，提高训练速度和准确性。具体而言，Swin Transformer作为YOLOv7的特征提取器，将具有不同分辨率的feature map传递给名为detector的检测头，该检测头使用的是YOLOv7原始实现的网络架构。\[1\]\[2\]\[3\]
#### 引用[.reference_title]
- *1* [改进YOLOv7系列：YOLOv7与Swin Transformer V2的结合](https://blog.csdn.net/wellcoder/article/details/130935432)[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^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* *3* [改进YOLOv7系列：结合Swin Transformer V2实现更强大的计算机视觉模型](https://blog.csdn.net/wellcoder/article/details/130994949)[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^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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