Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition

Author:

Patel Gaurav1,Allebach Jan1,Qiu Qiang1

Affiliation:

1. Purdue University,School of Electrical and Computer Engineering,USA

Funder

National Science Foundation

Publisher

IEEE

Reference65 articles.

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5. and Geoffrey E Hinton. Big self-supervised models are strong semi-supervised learners;chen;Advances in Neural IInformation Processing Systems,2020

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sequential visual and semantic consistency for semi-supervised text recognition;Pattern Recognition Letters;2024-02

2. Fine-grained Pseudo Labels for Scene Text Recognition;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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