An Improved Bounding Box Regression Loss Function Based on CIOU Loss for Multi-scale Object Detection

2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)(2021)

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摘要
The regression loss function is a key factor in the training and optimization process of object detection. The current mainstream regression loss functions are Ln norm loss, IOU loss and CIOU loss. This paper proposes the Scale-Sensitive IOU(SIOU) loss, a new loss function different from the above all, which could solve the issues that the current loss functions cannot distinguish the two bounding...
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关键词
Training,Analytical models,Conferences,Object detection,Machine learning,Pattern recognition,Optimization
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