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Mask R-CNN

Introduction

[ALGORITHM]

@INPROCEEDINGS{8237584,
  author={K. {He} and G. {Gkioxari} and P. {Dollár} and R. {Girshick}},
  booktitle={2017 IEEE International Conference on Computer Vision (ICCV)},
  title={Mask R-CNN},
  year={2017},
  pages={2980-2988},
  doi={10.1109/ICCV.2017.322}}

In tuning parameters, we refer to the baseline method in the following article:

@article{pmtd,
  author={Jingchao Liu and Xuebo Liu and Jie Sheng and Ding Liang and Xin Li and Qingjie Liu},
  title={Pyramid Mask Text Detector},
  journal={CoRR},
  volume={abs/1903.11800},
  year={2019}
}

Results and models

CTW1500

Method Pretrained Model Training set Test set #epochs Test size Recall Precision Hmean Download
MaskRCNN ImageNet CTW1500 Train CTW1500 Test 160 1600 0.753 0.712 0.732 model | log

ICDAR2015

Method Pretrained Model Training set Test set #epochs Test size Recall Precision Hmean Download
MaskRCNN ImageNet ICDAR2015 Train ICDAR2015 Test 160 1920 0.783 0.872 0.825 model | log

ICDAR2017

Method Pretrained Model Training set Test set #epochs Test size Recall Precision Hmean Download
MaskRCNN ImageNet ICDAR2017 Train ICDAR2017 Val 160 1600 0.754 0.827 0.789 model | log