Orthogonality-constrained multihead self-attention for scene text recognition

Author:

Shicheng Xu, ,Ziqi Zhu

Publisher

Aerospace Information Research Institute, Chinese Academy of Sciences

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference55 articles.

1. Arjovsky M,Shah A and Bengio Y. 2016. Unitary evolution recurrent neural networks[EB/OL].[2022-09-22]. https://arxiv.org/pdf/1511.06464.pdf

2. Atienza R. 2021. Vision Transformer for fast and efficient scene text recognition//Proceedings of the 16th International Conference on Document Analysis and Recognition. Lausanne,Switzerland:Springer:319-334[DOI:10.1007/978-3-030-86549-8_21]

3. Baek J,Kim G,Lee J,Park S,Han D,Yun S,Oh S J and Lee H. 2019. What is wrong with scene text recognition model comparisons? Dataset and model analysis//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision (ICCV). Seoul, Korea (South):IEEE:4714-4722 [DOI:10.1109/ICCV. 2019. 00481]

4. Bahdanau D,Cho K and Bengio Y. 2016. Neural machine translation by jointly learning to align and translate[EB/OL].[2022-08-29]. https://arxiv.org/pdf/1409.0473.pdf

5. Bai F,Cheng Z Z,Niu Y,Pu S L and Zhou S G. 2018. Edit probability for scene text recognition[EB/OL].[2022-08-12]. https://arxiv.org/pdf/1805.03384.pdf

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