LRANet: Towards Accurate and Efficient Scene Text Detection …
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- DOI 10.1609/aaai.v38i5.28302
- OpenAlex ID W4393148643
- Type Conference-paper
- Language EN
- Published 24 Mar 2024
- Volume 38 (5)
- Pages 4979–4987
- Source Proceedings of the AAAI Conference on Ar…
- Publisher Association for the Advancement of …
- FWCI 4.56
- Countries 1
- Institutions 3
- Added 26 Mar 2024
- Updated 16 Oct 2026
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LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network
Conference-paper 2024 EN Diamond
Recently, regression-based methods, which predict parameterized text shapes for text localization, have gained popularity in scene text detection. However, the existing parameterized text shape methods still have limitations in modeling arbitrary-shaped texts due to ignoring the utilization of text-specific shape information. Moreover, the time consumption of the entire pipeline has been largely o…
22
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49
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8
Authors
4.56
FWCI
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8 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Yuchen Su | Fudan University (CN) | |
| 2 | Zhineng Chen | Fudan University (CN) | |
| 3 | Zhiwen Shao | China University of Mining and… (CN) | |
| 4 | Yuning Du | Baidu (China) (CN) | |
| 5 | Zhilong Ji | — | |
| 6 | Jinfeng Bai | — | |
| 7 | Yong Zheng Zhou | China University of Mining and… (CN) | |
| 8 | Yu–Gang Jiang | Fudan University (CN) |
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