PyraD-DCNN: A Fully Convolutional Neural Network to Replace BLSTM in Offline Text Recognition Systems-Reference-Cited by-同舟云学术

PyraD-DCNN: A Fully Convolutional Neural Network to Replace BLSTM in Offline Text Recognition Systems

Published:2021 Issue: Volume: Page:647-661
ISSN:0302-9743
Container-title:Pattern Recognition. ICPR International Workshops and Challenges
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Author:

Jouanne Jonathan,Dauchy Quentin,Awal Ahmad Montaser

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-68763-2_49

Reference21 articles.

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3. Bluche, T., Louradour, J., Messina, R.O.: Scan, attend and read: end-to-end handwritten paragraph recognition with MDLSTM attention. CoRR abs/1604.03286 (2016). http://arxiv.org/abs/1604.03286

4. Chang, S.Y., et al.: Temporal modeling using dilated convolution and gating for voice-activity-detection. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5549–5553. IEEE (2018)

5. Lecture Notes in Computer Science;C Chen,2019

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