| 标题 |
 Shape-IoU: More Accurate Metric considering Bounding Box Shape and Scale |
| 网址 | |
| DOI |
10.48550/arXiv.2312.17663Focustolearnmore
doi
|
| 其它 |
Hao Zhang, Shuaijie Zhang As an important component of the detector localization branch, bounding box regression loss plays a significant role in object detection tasks. The existing bounding box regression methods usually consider the geometric relationship between the GT box and the predicted box, and calculate the loss by using the relative position and shape of the bounding boxes, while ignoring the influence of inherent properties such as the shape and scale of the bounding boxes on bounding box regression. In order to make up for the shortcomings of existing research, this article proposes a bounding box regression method that focuses |
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(2025-6-4)
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