TextRSR: Enhanced Arbitrary-Shaped Scene Text Representation…
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- DOI 10.1109/tmm.2026.3651034
- OpenAlex ID W7118747301
- Type Article
- Language EN
- Published 01 Jan 2026
- Volume 28
- Pages 2550–2563
- Source IEEE Transactions on Multimedia
- Publisher Institute of Electrical and Electro…
- FWCI 5.72
- Countries 2
- Institutions 5
- Added 08 Jan 2026
- Updated 14 Oct 2026
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TextRSR: Enhanced Arbitrary-Shaped Scene Text Representation via Robust Subspace Recovery
Article 2026 EN
In recent years, scene text detection research has increasingly focused on arbitrary-shaped texts, where text representation is a fundamental problem. However, most existing methods still struggle to separate adjacent or overlapping texts due to ambiguous spatial positions of points or segmentation masks. Besides, the time efficiency of the entire pipeline is often neglected, resulting in sub-opti…
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7 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Zhiwen Shao | China University of Mining and… (CN) | |
| 2 | Shengtian Jiang | China University of Mining and… (CN) | |
| 3 | Hancheng Zhu | China University of Mining and… (CN) | |
| 4 | Xuehuai Shi | Nanjing University of Posts an… (CN) | |
| 5 | CanLin Li | Zhengzhou University of Light … (CN) | |
| 6 | Lizhuang Ma | Shanghai Jiao Tong University (CN) | |
| 7 | Dit‐Yan Yeung | Hong Kong University of Scienc… (HK) |
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