Boosting up Scene Text Detectors with Guided CNN

Understand

Deep CNNs have achieved great success in text detection.

• Most of existing methods attempt to improve accuracy with sophisticated network design, while paying less attention on speed.
• In this paper, we propose a general framework for text detection called Guided CNN to achieve the two goals simultaneously.
• The proposed model consists of one guidance subnetwork, where a guidance mask is learned from the input image itself, and one primary text detector, where every convolution and non-linear operation are conducted only in the guidance mask.