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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53

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6

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14.03

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6 authors
#AuthorInstitutionsORCID
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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