Adaptive Smooth L1 Loss: A Better Way to Regress Scene Texts with Extreme Aspect Ratios

2021 IEEE Symposium on Computers and Communications (ISCC)(2021)

引用 6|浏览8
暂无评分
摘要
In recent years, scene text detection has experienced rapid development. Regression-based methods are currently a mainstream method for scene text detection, and the effect of bounding box regression is a major factor limiting their detection performance. The regression of bounding boxes is greatly affected by the aspect ratio of texts since the text in natural scenes varies greatly in height and ...
更多
查看译文
关键词
Training,Computers,Adaptation models,Limiting,Costs,Computational modeling,Detectors
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络