Verification for Object Detection – IBP IoU

Noémie Cohen,Mélanie Ducoffe, Ryma Boumazouza, Christophe Gabreau,Claire Pagetti, Xavier Pucel, Audrey Galametz

CoRR(2024)

引用 0|浏览0
暂无评分
摘要
We introduce a novel Interval Bound Propagation (IBP) approach for the formal verification of object detection models, specifically targeting the Intersection over Union (IoU) metric. The approach has been implemented in an open source code, named IBP IoU, compatible with popular abstract interpretation based verification tools. The resulting verifier is evaluated on landing approach runway detection and handwritten digit recognition case studies. Comparisons against a baseline (Vanilla IBP IoU) highlight the superior performance of IBP IoU in ensuring accuracy and stability, contributing to more secure and robust machine learning applications.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要