mirror of https://github.com/open-mmlab/mmocr.git
1.8 KiB
1.8 KiB
DRRG
Introduction
[ALGORITHM]
@article{zhang2020drrg,
title={Deep relational reasoning graph network for arbitrary shape text detection},
author={Zhang, Shi-Xue and Zhu, Xiaobin and Hou, Jie-Bo and Liu, Chang and Yang, Chun and Wang, Hongfa and Yin, Xu-Cheng},
booktitle={CVPR},
pages={9699-9708},
year={2020}
}
Results and models
CTW1500
| Method | Pretrained Model | Training set | Test set | #epochs | Test size | Recall | Precision | Hmean | Download |
|---|---|---|---|---|---|---|---|---|---|
| DRRG | ImageNet | CTW1500 Train | CTW1500 Test | 1200 | 640 | 0.822 (0.791) | 0.858 (0.862) | 0.840 (0.825) | model \ log |
Note: We've upgraded our IoU backend from Polygon3 to shapely. There are some performance differences for some models due to the backends' different logics to handle invalid polygons (more info here). New evaluation result is presented in brackets and new logs will be uploaded soon.