GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition-Reference-Cited by-同舟云学术

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GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Zhan Fangneng,Xue Chuhui,Lu Shijian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8972782/9008105/09010742.pdf?arnumber=9010742

Cited by 69 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. Turning a CLIP Model Into a Scene Text Spotter;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09

2. A Brief Survey of Text Mining: Domains, Implemented Algorithms and Evaluation Metrics;Journal of Information & Knowledge Management;2024-06-26

3. TWIST: Text-only Weakly Supervised Scene Text Spotting Using Pseudo Labels;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

4. A review of multimodal learning for text to images;Multimedia Tools and Applications;2024-04-30

5. A Survey of Synthetic Data Augmentation Methods in Machine Vision;Machine Intelligence Research;2024-03-20

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