48 citations · 166 across the 19 of their papers we have counts for
4 papers · 1 filter
Text Recognition in the Wild: A Survey
Xiaoxue Chen, Lianwen Jin, Yuanzhi Zhu +2
The history of text can be traced back over thousands of years. Rich and precise semantic information carried by text is important in a wide range of vision-based application scena…
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
Canjie Luo, Yuanzhi Zhu, Lianwen Jin +1
Handwritten text and scene text suffer from various shapes and distorted patterns. Thus training a robust recognition model requires a large amount of data to cover diversity as mu…
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
Xinyu Wang, Yuliang Liu, Chunhua Shen +6
Visual Question Answering (VQA) methods have made incredible progress, but suffer from a failure to generalize. This is visible in the fact that they are vulnerable to learning coi…
Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild
Canjie Luo, Qingxiang Lin, Yuliang Liu +2
We propose to improve text recognition from a new perspective by separating the text content from complex backgrounds. As vanilla GANs are not sufficiently robust to generate seque…