FOTS: Fast Oriented Text Spotting With a Unified Network

@inproceedings{Liu2018FOTSFO,
  title={FOTS: Fast Oriented Text Spotting With a Unified Network},
  author={Xuebo Liu and Ding Liang and Shi Yan and Dagui Chen and Yu Qiao and Junjie Yan},
  booktitle={CVPR},
  year={2018}
}
Incidental scene text spotting is considered one of the most difficult and valuable challenges in the document analysis community. Most existing methods treat text detection and recognition as separate tasks. In this work, we propose a unified end-to-end trainable Fast Oriented Text Spotting (FOTS) network for simultaneous detection and recognition, sharing computation and visual information among the two complementary tasks. Specifically, RoIRotate is introduced to share convolutional features… CONTINUE READING

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