@inproceedings{huang2019mask,
author = {Huang, Zhida and Zhong, Zhuoyao and Sun, Lei and Huo, Qiang},
title = {Mask R-CNN With Pyramid Attention Network for Scene Text Detection},
booktitle = {2019 Winter Conference on Applications of Computer Vision},
year = {2019},
month = {January},
abstract = {In this paper, we present a new Mask R-CNN based text detection approach which can robustly detect multi-oriented and curved text from natural scene images in a unified manner. To enhance the feature representation ability of Mask R-CNN for text detection tasks, we propose to use the Pyramid Attention Network (PAN) as a new backbone network of Mask R-CNN. Experiments demonstrate that PAN can suppress false alarms caused by text-like backgrounds more effectively. Our proposed approach has achieved superior performance on both multi-oriented (ICDAR-2015, ICDAR-2017 MLT) and curved (SCUT-CTW1500) text detection benchmark tasks by only using single-scale and single-model testing.},
url = {http://approjects.co.za/?big=en-us/research/publication/mask-r-cnn-with-pyramid-attention-network-for-scene-text-detection/},
}