Parstr: partially autoregressive scene text recognition
Author:
Funder
JSPS Kakenhi
RUPP-OMU/HEIP
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10032-024-00470-1.pdf
Reference55 articles.
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2. Saharia, C., Hinton, G.E., Norouzi, M., Jaitly, N., Chan, W.: Imputer: Sequence modelling via imputation and dynamic programming (2020)
3. Fang, S., Xie, H., Wang, Y., Mao, Z., Zhang, Y.: Read like humans: autonomous, bidirectional and iterative language modeling for scene text recognition. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
4. Bautista, D., Atienza, R.: Scene text recognition with permuted autoregressive sequence models. In: Lecture Notes in Computer Science, pp. 178–196 (2022)
5. Gran Ekstrand, A.C., Nilsson Benfatto, M., Öqvist Seimyr, G.: Screening for reading difficulties: comparing eye tracking outcomes to neuropsychological assessments. Front. Edu. 6 (2021). https://doi.org/10.3389/feduc.2021.643232
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