TWIST: Text-only Weakly Supervised Scene Text Spotting Using Pseudo Labels-Reference-Cited by-同舟云学术

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TWIST: Text-only Weakly Supervised Scene Text Spotting Using Pseudo Labels

Published:2024-05-30 Issue: Volume:44 Page:275-284
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Wen Lilong¹^ORCID,Tang Xiu²^ORCID,Zhang Dongxiang¹^ORCID

Affiliation:

1. The State Key Laboratory of Blockchain and Data Security, Zhejiang University & Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Zhejiang University, Hangzhou, China

2. School of Software Technology, Zhejiang University & Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Zhejiang University, Hangzhou, China

Funder

National Key Research and Development Project of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3658075

Reference61 articles.

1. Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

2. Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. 2020. End-to-end object detection with transformers. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part I 16. Springer, 213--229.

3. Focusing Attention: Towards Accurate Text Recognition in Natural Images

4. Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

5. Improved text-detection methods for a camera-based text reading system for blind persons

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