COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation

@article{Bonechi2019COCO\_TSDP,
  title={COCO\_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation},
  author={Simone Bonechi and Paolo Andreini and Monica Bianchini and Franco Scarselli},
  journal={arXiv: Computer Vision and Pattern Recognition},
  year={2019}
}
The absence of large scale datasets with pixel-level supervisions is a significant obstacle for the training of deep convolutional networks for scene text segmentation. For this reason, synthetic data generation is normally employed to enlarge the training dataset. Nonetheless, synthetic data cannot reproduce the complexity and variability of natural images. In this paper, a weakly supervised learning approach is used to reduce the shift between training on real and synthetic data. Pixel-level… Expand
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