Have Convolutions Already Made Recurrence Obsolete for Unconstrained Handwritten Text Recognition?
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8890610/8892803/08892869.pdf?arnumber=8892869
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. On the improvement of handwritten text line recognition with octave convolutional recurrent neural networks;International Journal on Document Analysis and Recognition (IJDAR);2024-02-20
2. Are Attention blocks better than BiLSTM for text recognition?;Proceedings of the 2023 8th International Conference on Machine Learning Technologies;2023-03-10
3. DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023
4. End-to-End Handwritten Paragraph Text Recognition Using a Vertical Attention Network;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-01-01
5. Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-End Handwritten Document Recognition;Lecture Notes in Computer Science;2023
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