Revisiting Scene Text Recognition: A Data Perspective
Author:
Affiliation:
1. South China University of Technology
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376628.pdf?arnumber=10376628
Reference68 articles.
1. Sequence-to-Sequence Contrastive Learning for Text Recognition
2. What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
3. What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels
4. Scene Text Recognition with Permuted Autoregressive Sequence Models
5. A simple framework for contrastive learning of visual representations;Chen
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1. Parstr: partially autoregressive scene text recognition;International Journal on Document Analysis and Recognition (IJDAR);2024-05-22
2. Accurate and Robust Scene Text Recognition via Adversarial Training;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
3. Masked and Permuted Implicit Context Learning for Scene Text Recognition;IEEE Signal Processing Letters;2024
4. ICDAR 2024 Competition on Artistic Text Recognition;Lecture Notes in Computer Science;2024
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