Enhui Chai

Accelerating Convergence in Bounding Box Regression with a Refined IoU Loss Function

Bounding box regression (BBR) is a critical component in object detection, significantly influencing the accuracy of object localization. However, existing Intersection over Union (IoU)-based loss functions encounter two primary challenges: (i) The penalty factor configuration often results in the e…