YOLOv7的主干网络

YOLOv7的主干网络采用了苹果Backbone主干网络模型\[1\]。这个主干网络模型在YOLOv7中起到了提取特征的作用。与YOLOv5不同的是，YOLOv7将neck层和head合称为head层，实际上的功能是一样的。在YOLOv7中，主干网络的输入端采用了自适应锚框计算、自适应图片缩放和数据增强方式\[3\]。这些改进使得YOLOv7在性能和效率上都有所提升。
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- *1* [YOLOv7_轻量高效MobileOne结构与苹果Backbone主干网络模型](https://blog.csdn.net/wellcoder/article/details/130995184)[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* *3* [yolov7和yolov8的创新点详解（附：汇报用的PPT）](https://blog.csdn.net/m0_74890428/article/details/130338162)[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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