• This project is implemented in Pytorch (1.11.0+cu113). Thus please install Pytorch first.

• ctcdecode==0.4 [parlance/ctcdecode]，for beam search decode.

• This project runs in pycharm, so you need to install pycharm

• The SLR is the main function.

1. Download the CE-CSL Dataset[[download link]]https://pan.baidu.com/s/1OHJLRfLFPWqkxvLBr4KAQg extraction code：0000

2. After finishing dataset download, extract it.

3. Download the latest weight, test WER is 32.46%.[[download link]]https://pan.baidu.com/s/1KPbDL2nAvBsSsTDwc9og0A extraction code：0000

1. Run python CE-CSLDataPreProcess.py to convert video data to image data.

2. SRL.py is the main function

3. Remember to change the path to the dataset before running it.

---
### Relevant paper

Continuous Sign Language Recognition via Temporal Super-Resolution Network. [[paper]](https://arxiv.org/pdf/2207.00928.pdf)

```latex
@article{zhu2022continuous,
  title={Continuous Sign Language Recognition via Temporal Super-Resolution Network},
  author={Zhu, Qidan and Li, Jing and Yuan, Fei and Gan, Quan},
  journal={arXiv preprint arXiv:2207.00928},
  year={2022}
}

Temporal superimposed crossover module for effective continuous sign language. [paper]

@article{zhu2022temporal,
  title={Temporal superimposed crossover module for effective continuous sign language},
  author={Zhu, Qidan and Li, Jing and Yuan, Fei and Gan, Quan},
  journal={arXiv preprint arXiv:2211.03387},
  year={2022}
}

Continuous sign language recognition based on cross-resolution knowledge distillation. [paper]

@article{zhu2023continuous,
  title={Continuous sign language recognition based on cross-resolution knowledge distillation},
  author={Zhu, Qidan and Li, Jing and Yuan, Fei and Gan, Quan},
  journal={arXiv preprint arXiv:2303.06820},
  year={2023}
}

Continuous Sign Language Recognition Based on Motor attention mechanism and frame-level Self-distillation. [paper]

@article{zhu2024continuous,
  title={Continuous Sign Language Recognition Based on Motor attention mechanism and frame-level Self-distillation},
  author={Zhu, Qidan and Li, Jing and Yuan, Fei and Gan, Quan},
  journal={arXiv preprint arXiv:2402.19118},
  year={2024}
}