PSENet
Introduction
[ALGORITHM]
@inproceedings{wang2019shape,
title={Shape robust text detection with progressive scale expansion network},
author={Wang, Wenhai and Xie, Enze and Li, Xiang and Hou, Wenbo and Lu, Tong and Yu, Gang and Shao, Shuai},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={9336--9345},
year={2019}
}
Results and models
CTW1500
Method |
Backbone |
Extra Data |
Training set |
Test set |
#epochs |
Test size |
Recall |
Precision |
Hmean |
Download |
PSENet-4s |
ResNet50 |
- |
CTW1500 Train |
CTW1500 Test |
600 |
1280 |
0.728 |
0.849 |
0.784 |
model | log |
ICDAR2015
Method |
Backbone |
Extra Data |
Training set |
Test set |
#epochs |
Test size |
Recall |
Precision |
Hmean |
Download |
PSENet-4s |
ResNet50 |
- |
IC15 Train |
IC15 Test |
600 |
2240 |
0.784 |
0.831 |
0.807 |
model | log |
PSENet-4s |
ResNet50 |
pretrain on IC17 MLT model |
IC15 Train |
IC15 Test |
600 |
2240 |
0.834 |
0.861 |
0.847 |
model | log |