LRANet++: Low-Rank Approximation Network for Accurate and Ef…
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- OpenAlex ID W7105506777
- Type Preprint
- Language EN
- Published 08 Nov 2025
- Source arXiv (Cornell University)
- Publisher Cornell University
- Added 12 Nov 2025
- Updated 28 Oct 2026
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LRANet++: Low-Rank Approximation Network for Accurate and Efficient Text Spotting
Preprint 2025 EN Green
End-to-end text spotting aims to jointly optimize text detection and recognition within a unified framework. Despite significant progress, designing an accurate and efficient end-to-end text spotter for arbitrary-shaped text remains challenging. We identify the primary bottleneck as the lack of a reliable and efficient text detection method. To address this, we propose a novel parameterized text s…
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6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Su, Yuchen | — | — |
| 2 | Chen, Zhineng | — | — |
| 3 | Du, Yongkun | — | — |
| 4 | Wu, Zuxuan | — | — |
| 5 | Xie, Hongtao | — | — |
| 6 | Jiang, Yu-Gang | — | — |
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