Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

19 Nov 2019Zhaohui ZhengPing WangWei LiuJinze LiRongguang YeDongwei Ren

Bounding box regression is the crucial step in object detection. In existing methods, while $\ell_n$-norm loss is widely adopted for bounding box regression, it is not tailored to the evaluation metric, i.e., Intersection over Union (IoU)... (read more)

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