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add can, stt to algorithm_overview_en.md (PaddlePaddle#8328)
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WenmuZhou authored Nov 16, 2022
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30 changes: 30 additions & 0 deletions doc/doc_ch/algorithm_overview.md
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- [1. 两阶段OCR算法](#1)
- [1.1 文本检测算法](#11)
- [1.2 文本识别算法](#12)
- [1.3 文本超分辨率算法](#13)
- [1.4 公式识别算法](#14)
- [2. 端到端OCR算法](#2)
- [3. 表格识别算法](#3)
- [4. 关键信息抽取算法](#4)
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|RobustScanner|ResNet31| 87.77% | rec_r31_robustscanner | [训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_r31_robustscanner.tar)|
|RFL|ResNetRFL| 88.63% | rec_resnet_rfl_att | [训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_att_train.tar) |


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### 1.3 文本超分辨率算法
已支持的文本超分辨率算法列表(戳链接获取使用教程):
- [x] [Text Gestalt](./algorithm_sr_gestalt.md)
- [x] [Text Telescope](./algorithm_sr_telescope.md)

在TextZoom公开数据集上,算法效果如下:

|模型|骨干网络|PSNR_Avg|SSIM_Avg|配置文件|下载链接|
|---|---|---|---|---|---|
|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](../../configs/sr/sr_tsrn_transformer_strock.yml)|[训练模型](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)|
|Text Telescope|tbsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](../../configs/sr/sr_telescope.yml)|[训练模型](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)|

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### 1.4 公式识别算法

已支持的公式识别算法列表(戳链接获取使用教程):
- [x] [CAN](./algorithm_rec_can.md.md)

在CROHME手写公式数据集上,算法效果如下:

|模型 |骨干网络|配置文件|ExpRate|下载链接|
| ----- | ----- | ----- | ----- | ----- |
|CAN|DenseNet|[rec_d28_can.yml](../../configs/rec/rec_d28_can.yml)|51.72%|[训练模型](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)|

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## 2. 端到端算法
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34 changes: 33 additions & 1 deletion doc/doc_en/algorithm_overview_en.md
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- [1. Two-stage OCR Algorithms](#1)
- [1.1 Text Detection Algorithms](#11)
- [1.2 Text Recognition Algorithms](#12)
- [1.3 Text Super-Resolution Algorithms](#13)
- [1.4 Formula Recognition Algorithm](#14)
- [2. End-to-end OCR Algorithms](#2)
- [3. Table Recognition Algorithms](#3)
- [4. Key Information Extraction Algorithms](#4)
Expand Down Expand Up @@ -104,6 +106,36 @@ Refer to [DTRB](https://arxiv.org/abs/1904.01906), the training and evaluation r
|RobustScanner|ResNet31| 87.77% | rec_r31_robustscanner | [trained model](https://paddleocr.bj.bcebos.com/contribution/rec_r31_robustscanner.tar)|
|RFL|ResNetRFL| 88.63% | rec_resnet_rfl_att | [trained model](https://paddleocr.bj.bcebos.com/contribution/rec_resnet_rfl_att_train.tar) |

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### 1.3 Text Super-Resolution Algorithms

Supported text super-resolution algorithms (Click the link to get the tutorial):
- [x] [Text Gestalt](./algorithm_sr_gestalt.md)
- [x] [Text Telescope](./algorithm_sr_telescope.md)

On the TextZoom public dataset, the effect of the algorithm is as follows:

|Model|Backbone|PSNR_Avg|SSIM_Avg|Config|Download link|
|---|---|---|---|---|---|
|Text Gestalt|tsrn|19.28|0.6560| [configs/sr/sr_tsrn_transformer_strock.yml](../../configs/sr/sr_tsrn_transformer_strock.yml)|[trained model](https://paddleocr.bj.bcebos.com/sr_tsrn_transformer_strock_train.tar)|
|Text Telescope|tbsrn|21.56|0.7411| [configs/sr/sr_telescope.yml](../../configs/sr/sr_telescope.yml)|[trained model](https://paddleocr.bj.bcebos.com/contribution/sr_telescope_train.tar)|

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### 1.4 Formula Recognition Algorithm

Supported formula recognition algorithms (Click the link to get the tutorial):

- [x] [CAN](./algorithm_rec_can.md.md)

On the CROHME handwritten formula dataset, the effect of the algorithm is as follows:

|Model |Backbone|Config|ExpRate|Download link|
| ----- | ----- | ----- | ----- | ----- |
|CAN|DenseNet|[rec_d28_can.yml](../../configs/rec/rec_d28_can.yml)|51.72%|[trained model](https://paddleocr.bj.bcebos.com/contribution/rec_d28_can_train.tar)|


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## 2. End-to-end OCR Algorithms
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|Model|Backbone|Config|Acc|Download link|
|---|---|---|---|---|
|TableMaster|TableResNetExtra|[configs/table/table_master.yml](../../configs/table/table_master.yml)|77.47%|[trained](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar) / [inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)|
|TableMaster|TableResNetExtra|[configs/table/table_master.yml](../../configs/table/table_master.yml)|77.47%|[trained model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_train.tar) / [inference model](https://paddleocr.bj.bcebos.com/ppstructure/models/tablemaster/table_structure_tablemaster_infer.tar)|


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