A Simple and Effective Baseline for Robust Logo Detection
Weipeng Xu, Liu Ye, Daquan Lin · 2021
This article introduces the solution of the third place team green hand for ACM Multimedia 2021 Security AI Challenger Phase 7: Robust defense competition for e-commerce logo detection. In this work, we use the DetectoRS model and 4 strategies, including resampling, equalization loss v2, data augmentation and weighted boxes fusion. It aims to solve the three main problems in the competition, including small target detection, long-tail distribution and adversarial examples. The final results show that our model achieves an evaluation score of 0.654611 in this semi-final, which ranks first in semi-final and third place in final among all 36,489 teams.