Paper ID | MLR-APPL-IP-7.10 | ||
Paper Title | ADVMIX: DATA AUGMENTATION FOR ACCURATE SCENE TEXT SPOTTING | ||
Authors | Yizhang Huang, Kun Fang, Xiaolin Huang, Jie Yang, Shanghai Jiao Tong University, China | ||
Session | MLR-APPL-IP-7: Machine learning for image processing 7 | ||
Location | Area E | ||
Session Time: | Wednesday, 22 September, 08:00 - 09:30 | ||
Presentation Time: | Wednesday, 22 September, 08:00 - 09:30 | ||
Presentation | Poster | ||
Topic | Applications of Machine Learning: Machine learning for image processing | ||
IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
Abstract | Accurate scene text spotting models ask for effective data augmentation algorithms. This paper presents a novel data augmentation algorithm called AdvMix that integrates techniques of adversarial attack and mixup. First, it utilizes the PGD method to synthesize adversarial samples. Second, it is the first work to implement feature-wise mixup between original data and the associated adversarial sample to enhance data augmentation. AdvMix has been evaluated over ICDAR2013 and ICDAR2015 datasets, showing its superior performance in improving accuracy of scene text spotting models. |