Are Attention blocks better than BiLSTM for text recognition?

Author:

Belhakimi Amine Mohamed1ORCID,Chiron Guillaume1ORCID,Arrestier Florian1ORCID,Awal Ahmad Montaser1ORCID

Affiliation:

1. Idnow center of excellence, Idnow gmbh, France

Publisher

ACM

Reference26 articles.

1. Baoguang Shi , Xiang Bai , and Cong Yao . An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition . In TPAMI , volume 39 , pages 2298– 2304 . IEEE, 2017. 1, 2, 4, 5, 10, 11, 12 Baoguang Shi, Xiang Bai, and Cong Yao. An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition. In TPAMI, volume 39, pages 2298–2304. IEEE, 2017. 1, 2, 4, 5, 10, 11, 12

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

3. A multi-radio unification protocol for IEEE 802.11 wireless networks

4. Random sample consensus

5. Jianfeng Wang and Xiaolin Hu . Gated recurrent convolution neural network for ocr . In NIPS , pages 334– 343 , 2017 . 1, 2, 4, 10, 11, 12 Jianfeng Wang and Xiaolin Hu. Gated recurrent convolution neural network for ocr. In NIPS, pages 334–343, 2017. 1, 2, 4, 10, 11, 12

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