Real-World Font Recognition Using Deep Network and Domain Adaptation
International Conference on Learning Representations, 2015.
We address a challenging fine-grain classification problem: recognizing a font style from an image of text. In this task, it is very easy to generate lots of rendered font examples but very hard to obtain real-world labeled images. This real-to-synthetic domain gap caused poor generalization to new real data in previous methods (Chen et...More
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