The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Scene Text Recognition with Permuted Autoregressive Sequence Models
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Cites
ImageNet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Microsoft COCO: Common Objects in Context
Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460
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Randaugment: Practical automated data augmentation with a reduced search space
Cubuk, E. D., Zoph, B., Shlens, J., & Le, Q. V. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw50498.2020.00359 · Cited by 3,223
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Cited by
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models
Li, M., Lv, T., Chen, J., Cui, L., Lu, Y., Florencio, D., Zhang, C., Li, Z., & Wei, F. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i11.26538 · Cited by 573
FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions
Rotstein, N., Bensaïd, D., Brody, S., Ganz, R., & Kimmel, R. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv57701.2024.00559 · Cited by 66
Metadata
- Authors
- Bautista, D., & Atienza, R.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2022
- Pages
- 178-196
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4312879041
- Cited by
- 267
- References
- 55
- FWCI
- 19.70
- Type
- conference paper
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Scene Text Recognition with Permuted Autoregressive Sequence Models. https://app.cochat.ai/papers/10.1007/978-3-031-19815-1_11
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- Bautista, D., & Atienza, R. (2022). Scene Text Recognition with Permuted Autoregressive Sequence Models. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-19815-1_11
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
