# NRTR

## Introduction

[ALGORITHM]

```bibtex
@inproceedings{sheng2019nrtr,
  title={NRTR: A no-recurrence sequence-to-sequence model for scene text recognition},
  author={Sheng, Fenfen and Chen, Zhineng and Xu, Bo},
  booktitle={2019 International Conference on Document Analysis and Recognition (ICDAR)},
  pages={781--786},
  year={2019},
  organization={IEEE}
}
```

[BACKBONE]

```bibtex
@inproceedings{li2019show,
  title={Show, attend and read: A simple and strong baseline for irregular text recognition},
  author={Li, Hui and Wang, Peng and Shen, Chunhua and Zhang, Guyu},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={33},
  number={01},
  pages={8610--8617},
  year={2019}
}
```

## Dataset

### Train Dataset

| trainset  | instance_num | repeat_num | source |
| :-------: | :----------: | :--------: | :----: |
| SynthText |   7266686    |     1      | synth  |
|  Syn90k   |   8919273    |     1      | synth  |

### Test Dataset

| testset | instance_num |   type    |
| :-----: | :----------: | :-------: |
| IIIT5K  |     3000     |  regular  |
|   SVT   |     647      |  regular  |
|  IC13   |     1015     |  regular  |
|  IC15   |     2077     | irregular |
|  SVTP   |     645      | irregular |
|  CT80   |     288      | irregular |

## Results and Models

|                             Methods                             |   Backbone   |        | Regular Text |      |     |      | Irregular Text |      |                                                                                               download                                                                                                |
| :-------------------------------------------------------------: | :----------: | :----: | :----------: | :--: | :-: | :--: | :------------: | :--: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
|                                                                 |              | IIIT5K |     SVT      | IC13 |     | IC15 |      SVTP      | CT80 |
| [NRTR](/configs/textrecog/nrtr/nrtr_r31_1by16_1by8_academic.py) | R31-1/16-1/8 |  93.9  |     90.0     | 93.5 |     | 74.5 |      78.5      | 86.5 |      [model](https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_academic_20210406-954db95e.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/nrtr/20210406_010150.log.json)      |
| [NRTR](/configs/textrecog/nrtr/nrtr_r31_1by8_1by4_academic.py)  | R31-1/8-1/4  |  94.7  |     87.5     | 93.3 |     | 75.1 |      78.9      | 87.9 | [model](https://download.openmmlab.com/mmocr/textrecog/nrtr/nrtr_r31_1by8_1by4_academic_20210406-ce16e7cc.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/nrtr/20210406_160845.log.json) |

**Notes:**

-   `R31-1/16-1/8` means the height of feature from backbone is 1/16 of input image, where 1/8 for width.
-   `R31-1/8-1/4` means the height of feature from backbone is 1/8 of input image, where 1/4 for width.