yolov5 siou

在引用中提到了YOLO-V5模型可以使用SIoU (Scale-Invariant IoU) 来计算边界框之间的相似度。SIoU是一种IoU的变种，用于衡量两个边界框的位置和尺度之间的相似度。引用中提到了在YOLO-V5中计算SIoU的函数bbox_iou，并且在引用中提到了YOLO-V8改进策略，其中将CIoU替换为Wise-IoU。因此，YOLO-V5中的SIoU是指使用Scale-Invariant IoU计算边界框相似度的一种方法。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [最新损失函数SIOU YOLO-V5涨点喜人 适配YOLO](https://blog.csdn.net/weixin_37989267/article/details/126469099)[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%"]
- *3* [YoloV8改进策略：将CIoU替换成Wise-IoU，幸福涨点，值得拥有，还支持EIoU、GIoU、DIoU、SIoU无缝替换](https://download.csdn.net/download/qq_40957277/88165137)[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%"]
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