Real-time Scene Text Detection with Differentiable Binarization

Understand

Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.

• However, the post-processing of binarization is essential for segmentation-based detection, which converts probability maps produced by a segmentation method into bounding boxes/regions of text.
• In this paper, we propose a module named Differentiable Binarization (DB), which can perform the binarization process in a segmentation network.
• Optimized along with a DB module, a segmentation network can adaptively set the thresholds for binarization, which not only simplifies the post-processing but also enhances the performance of text detection.