In object detection models, Bbox regression is a process of adjusting the coordinates and size of the initial bounding box through algorithms to make the box fit the target's actual contour better, used to improve target positioning accuracy.
In object detection models, Bbox regression is a process of adjusting the coordinates and size of the initial bounding box through algorithms to make the box fit the target's actual contour better, used to improve target positioning accuracy.
