yolov8改进focaleiou

在YoloV8的改进中，添加了FocalEIoU。FocalEIoU是一种结合了Focal Loss和EIoU的损失函数，用于改善目检测中的类别平衡和边界回归问题。通过使用FocalEIoU，模型可以更好地处理难以区的目标，并提高检测的准确性和鲁棒性。具体的改进细节和实现方法可以参考相关的视频教学链接。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [YOLOV8改进-添加EIoU,SIoU,AlphaIoU,FocalEIoU,Wise-IoU](https://blog.csdn.net/qq_37706472/article/details/128743012)[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^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [YOLOV8最强操作教程.](https://blog.csdn.net/qq_37706472/article/details/128679699)[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^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]