ContourNet: Taking a Further Step Toward Accurate Arbitrary-…
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- DOI 10.1109/cvpr42600.2020.01177
- OpenAlex ID W3035679705
- Type Conference-paper
- Language EN
- Published 01 Jun 2020
- Pages 11750–11759
- Source IEEE Computer Society Conference on Comp…
- Publisher Institute of Electrical and Electro…
- FWCI 14.03
- Countries 1
- Institutions 1
- Added 19 Jun 2020
- Updated 16 Oct 2026
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ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection
Conference-paper 2020 EN Green
Scene text detection has witnessed rapid development in recent years. However, there still exists two main challenges: 1) many methods suffer from false positives in their text representations; 2) the large scale variance of scene texts makes it hard for network to learn samples. In this paper, we propose the ContourNet, which effectively handles these two problems taking a further step toward acc…
266
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14.03
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6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Yuxin Wang | University of Science and Tech… (CN) | |
| 2 | Hongtao Xie | University of Science and Tech… (CN) | |
| 3 | Zheng-Jun Zha | University of Science and Tech… (CN) | |
| 4 | Mengting Xing | University of Science and Tech… (CN) | |
| 5 | Zilong Fu | University of Science and Tech… (CN) | |
| 6 | Yongdong Zhang | University of Science and Tech… (CN) |
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