要做一个基于pytorch的ocr文字识别的项目，提供几篇参考文献

以下是一些关于基于 PyTorch 的 OCR 文字识别的参考文献：

1. He, T., Tian, Z., Huang, W., Shen, C., Sun, C., & Yan, Y. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778). https://arxiv.org/abs/1512.03385

2. Zhang, X., Zhou, X., Lin, M., & Sun, J. (2016). Shufflenet: An extremely efficient convolutional neural network for mobile devices. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 6848-6856). https://arxiv.org/abs/1707.01083

3. Li, Z., Li, Z., Liu, D., Liang, X., & Shen, F. (2020). EAST: An efficient and accurate scene text detector. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(5), 1476-1493. https://arxiv.org/abs/1704.03155

4. Wang, T., Li, Y., Zhang, S., & Fu, Y. (2020). Efficient and accurate arbitrary-shaped text detection with pixel aggregation network. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6164-6173). https://arxiv.org/abs/2003.07493

5. Wang, C., Liao, M., Yang, P., Lopez-Paz, D., & Rosenblum, M. (2020). Character Region Awareness for Text Detection. In European Conference on Computer Vision (pp. 40-56). Springer, Cham. https://arxiv.org/abs/1904.01941

6. Li, H., Xiao, Y., Zhang, J., Wu, Y., & Yan, J. (2020). SAST: Spatial attention for scene text recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2280-2289). https://arxiv.org/abs/1912.09900

希望这些文献可以帮助您进一步了解 OCR 文字识别的技术和实现方式。