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CRNN with TPS based STN
Introduction
[ALGORITHM]
@article{shi2016end,
title={An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition},
author={Shi, Baoguang and Bai, Xiang and Yao, Cong},
journal={IEEE transactions on pattern analysis and machine intelligence},
year={2016}
}
[PREPROCESSOR]
@article{shi2016robust,
title={Robust Scene Text Recognition with Automatic Rectification},
author={Shi, Baoguang and Wang, Xinggang and Lyu, Pengyuan and Yao,
Cong and Bai, Xiang},
year={2016}
}
Results and Models
Train Dataset
trainset | instance_num | repeat_num | note |
---|---|---|---|
Syn90k | 8919273 | 1 | synth |
Test Dataset
testset | instance_num | note |
---|---|---|
IIIT5K | 3000 | regular |
SVT | 647 | regular |
IC13 | 1015 | regular |
IC15 | 2077 | irregular |
SVTP | 645 | irregular |
CT80 | 288 | irregular |
Results and models
methods | Regular Text | Irregular Text | download | |||||
---|---|---|---|---|---|---|---|---|
IIIT5K | SVT | IC13 | IC15 | SVTP | CT80 | |||
CRNN-STN | 80.8 | 81.3 | 85.0 | 59.6 | 68.1 | 53.8 | model | log |