Real-World Font Recognition Using Deep Network and Domain Adaptation

International Conference on Learning Representations, 2015.

Cited by: 8|Bibtex|Views67
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

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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