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…