2021-05-14 21:37:04 +08:00
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# Fourier Contour Embedding for Arbitrary-Shaped Text Detection
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## Introduction
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[ALGORITHM]
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```bibtex
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@InProceedings{zhu2021fourier,
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title={Fourier Contour Embedding for Arbitrary-Shaped Text Detection},
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author={Yiqin Zhu and Jianyong Chen and Lingyu Liang and Zhanghui Kuang and Lianwen Jin and Wayne Zhang},
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year={2021},
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booktitle = {CVPR}
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}
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```
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## Results and models
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### CTW1500
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2021-06-03 15:00:38 +08:00
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| Method | Backbone | Pretrained Model | Training set | Test set | #epochs | Test size | Recall | Precision | Hmean | Download |
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| :--------------------------------------------------------------------: |:----------------:| :--------------: | :-----------: | :----------: | :-----: | :-------: | :----: | :-------: | :---: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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| [FCENet](/configs/textdet/fcenet/fcenet_r50dcnv2_fpn_1500e_ctw1500.py) | ResNet50 + DCNv2 | ImageNet | CTW1500 Train | CTW1500 Test | 1500 |(736, 1080)| 0.828 | 0.875 | 0.851 | [model](https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_r50dcnv2_fpn_1500e_ctw1500-05d740bb.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/fcenet/20210511_181328.log.json) |
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### ICDAR2015
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| Method | Backbone | Pretrained Model | Training set | Test set | #epochs | Test size | Recall | Precision | Hmean | Download |
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| :--------------------------------------------------------------------: | :--------------: | :--------------: | :-----------: | :----------: | :-----: | :-------: | :----: | :-------: | :---: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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2021-06-09 20:03:16 +08:00
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| [FCENet](/configs/textdet/fcenet/fcenet_r50_fpn_1500e_icdar2015.py) | ResNet50 | ImageNet | IC15 Train | IC15 Test | 1500 |(2260, 2260)| 0.819 | 0.880 | 0.849 | [model](https://download.openmmlab.com/mmocr/textdet/fcenet/fcenet_r50_fpn_1500e_icdar2015-d435c061.pth) \| [log](https://download.openmmlab.com/mmocr/textdet/fcenet/20210601_222655.log.json) |
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