Baek, J., Kim, G., Lee, J., Park, S., Han, D., Yun, S., Oh, S.J., Lee, H.: What is wrong with scene text recognition model comparisons? dataset and model analysis. In: ICCV. pp. 4715–4723 (2019)
2019
Later among the works it cites.
Li, H., Wang, P., Shen, C., Zhang, G.: Show, attend and read: A simple and strong baseline for irregular text recognition. In: AAAI. vol. 33, pp. 8610–8617 (2019)
2019
Later among the works it cites.
Sheng, F., Chen, Z., Xu, B.: Nrtr: A no-recurrence sequence-to-sequence model for scene text recognition. In: ICDAR. pp. 781–786. IEEE (2019)
2019
Later among the works it cites.
Tan, M., Le, Q.: Efficientnet: Rethinking model scaling for convolutional neural networks. In: ICML. pp. 6105–6114. PMLR (2019)
2019
Later among the works it cites.
Zhan, F., Lu, S.: Esir: End-to-end scene text recognition via iterative image rectification. In: CVPR. pp. 2059–2068 (2019)
2019
Later among the works it cites.
Chen, X., Jin, L., Zhu, Y., Luo, C., Wang, T.: Text recognition in the wild: A survey. arXiv preprint arXiv:2005.03492 (2020)
Original
2020
Later among the works it cites.
Cubuk, E.D., Zoph, B., Shlens, J., Le, Q.V.: Randaugment: Practical automated data augmentation with a reduced search space. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. pp. 702–703 (2020)
2020
Later among the works it cites.
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al.: An image is worth 16x16 words: Transformers for image recognition at scale. ICLR (2020)
2020
Later among the works it cites.
Lee, J., Park, S., Baek, J., Oh, S.J., Kim, S., Lee, H.: On recognizing texts of arbitrary shapes with 2d self-attention. In: CVPR Workshops. pp. 546–547 (2020)
2020
Later among the works it cites.
Litman, R., Anschel, O., Tsiper, S., Litman, R., Mazor, S., Manmatha, R.: Scatter: selective context attentional scene text recognizer. In: CVPR. pp. 11962–11972 (2020)
2020
Later among the works it cites.
Qiao, Z., Zhou, Y., Yang, D., Zhou, Y., Wang, W.: Seed: Semantics enhanced encoder-decoder framework for scene text recognition. In: CVPR. pp. 13528–13537 (2020)
2020
Later among the works it cites.
Touvron, H., Cord, M., Douze, M., Massa, F., Sablayrolles, A., Jégou, H.: Training data-efficient image transformers & distillation through attention. arXiv preprint arXiv:2012.12877 (2020)
Original
2020
Later among the works it cites.
Yu, D., Li, X., Zhang, C., Liu, T., Han, J., Liu, J., Ding, E.: Towards accurate scene text recognition with semantic reasoning networks. In: CVPR. pp. 12113–12122 (2020)
2020
Later among the works it cites.