RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

@article{Yue2020RobustScannerDE,
  title={RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition},
  author={Xiaoyu Yue and Zhanghui Kuang and Chenhao Lin and Hongbin Sun and Wayne Zhang},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.07542}
}
The attention-based encoder-decoder framework has recently achieved impressive results for scene text recognition, and many variants have emerged with improvements in recognition quality. However, it performs poorly on contextless texts (e.g., random character sequences) which is unacceptable in most of real application scenarios. In this paper, we first deeply investigate the decoding process of the decoder. We empirically find that a representative character-level sequence decoder utilizes… Expand
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