yolov7增加跳跃连接

在YOLOv7中增加跳跃连接的主要目的是提高模型的特征表示能力，并减小模型的参数量以及提升模型的性能。跳跃连接可以将低层特征与高层特征相融合，从而实现不同层之间的信息交流和特征融合。通过在网络中加入多个跳跃连接，从低层到高层逐渐增加，可以有效地提高目标检测的准确性和鲁棒性。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [改进yolov7网络（从轻量化方面的8个方法）](https://blog.csdn.net/jsnuchao/article/details/130273423)[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_2"}}] [.reference_item style="max-width: 50%"]
- *2* [YOLOv7改进方式提升，网络配置层数从104层压缩到24层](https://blog.csdn.net/wellcoder/article/details/130894221)[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_2"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]