Open-Set Text Recognition Implementations(II): Sample-to-Representation Mapping

Author:

Yin Xu-Cheng,Yang Chun,Liu Chang

Publisher

Springer Nature Singapore

Reference62 articles.

1. Li, H., Wang, P., Shen, C., Zhang, G.: Show, attend and read: a simple and strong baseline for irregular text recognition. In: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, Jan 27–Feb 1, 2019. AAAI Press (2019), pp. 8610–8617

2. 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: 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), Oct 27–Nov 2, 2019. IEEE (2019), pp. 4714–4722

3. Sheng, F., Chen, Z., Xu, B.: NRTR: a no-recurrence sequence-to-sequence model for scene text recognition. In: 2019 International Conference on Document Analysis and Recognition, ICDAR 2019, Sydney, Australia, Sept 20–25, 2019. IEEE (2019), pp. 781–786

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