yolov5giou改进损失函数

YOLOv5的改进之一是在损失函数方面进行了改进。传统的YOLOv5采用了CIOU损失函数，而改进后的版本则使用了Alpha-IoU损失函数来提升检测精度。此外，在头部输出层方面，改进版本的YOLOv5保留了与YOLOv4相同的锚框机制，但对训练时的损失函数采用了GIOU_Loss，并对预测框筛选使用了DIOU_nms。这些改进策略的详细阐述可以在相关资源中找到。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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