Publisher
Springer Nature Switzerland
Reference39 articles.
1. Baek, J., Matsui, Y., Aizawa, K.: What if we only use real datasets for scene text recognition? Toward scene text recognition with fewer labels. In CVPR, pp 3113–3122 (2021)
2. Bautista, D., Atienza, R.: Scene text recognition with permuted autoregressive sequence models. In: ECCV, pp. 178–196 (2022)
3. Chng, C.K., Liu, Y., Sun, Y., Ng, C.-C., Luo, C., Ni, Z., Fang, C., Zhang, S., Han, J., Ding, E., et al.: Icdar2019 robust reading challenge on arbitrary-shaped text-rrc-art. In: ICDAR, pp. 1571–1576 (2019)
4. 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. In: ICLR (2020)
5. Fang, S., Xie, H., Wang, Y., Mao, Z., Zhang, Y.: Read like humans: autonomous, bidirectional and iterative language modeling for scene text recognition. In: CVPR, pp. 7098–7107 (2021)