Visual Prompt Learning for Chinese Handwriting Recognition

Author:

Yao GangORCID,Ding NingORCID,Zhao TianqiORCID,Zhao KemengORCID,Tang PeiORCID,Tao YaoORCID,Peng LiangruiORCID

Publisher

Springer Nature Switzerland

Reference32 articles.

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2. Chorowski, J.K., Bahdanau, D., Serdyuk, D., Cho, K., Bengio, Y.: Attention-based models for speech recognition. In: NIPS, vol. 28 (2015)

3. Daumé III, H., Brill, E.: Web search intent induction via automatic query reformulation. In: Proceedings of HLT-NAACL, pp. 49–52 (2004)

4. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional Transformers for language understanding. In: Proceedings of NAACL, vol. 1, pp. 4171–4186 (2019)

5. Gan, Y., Bai, Y., Lou, Y., Ma, X., Zhang, R., Shi, N., Luo, L.: Decorate the newcomers: visual domain prompt for continual test time adaptation. In: AAAI, pp. 7595–7603 (2023)

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