Transcription of Real-time Scene Text Detection with Differentiable ...
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Real-time Scene Text Detection with Differentiable BinarizationMinghui Liao1 , Zhaoyi Wan2 , Cong Yao2, Kai Chen3,4, Xiang Bai1 1 Huazhong University of Science and Technology,2 Megvii,3 Shanghai Jiao Tong University,4 Onlyou segmentation-based methods are quite popular inscene text Detection , as the segmentation results can more ac-curately describe Scene text of various shapes such as curvetext. However, the post-processing of binarization is essen-tial for segmentation-based Detection , which converts proba-bility maps produced by a segmentation method into bound-ing boxes/regions of text.
The major contribution in this paper is the proposed DB module that is differentiable, which makes the process of binarization end-to-end trainable in a CNN. By combining a simple network for semantic segmentation and the pro-posed DB module, we proposed a robust and fast scene text detector. Observed from the performance evaluation of us-
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