yolov5 EIou

引用:在yolov5-6.1中添加了EIoU损失函数。
根据引用[3]中提供的论文标题《Focal and Efficient IOU Loss for Accurate Bounding Box Regression》，EIoU是一种用于准确边界框回归的新型损失函数。你可以在论文地址https://arxiv.org/abs/2101.08158 上找到更多有关EIoU的信息。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [yolov5-6.1-EIoU.zip](https://download.csdn.net/download/FriendshipTang/87733842)[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_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [目标检测算法——YOLOv5/YOLOv7改进|将IOU Loss替换为EIOU Loss](https://blog.csdn.net/m0_53578855/article/details/124056582)[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_1"}}] [.reference_item style="max-width: 50%"]
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