RSCA: Real-time Segmentation-based Context-Aware Scene Text …

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2021
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  • DOI 10.1109/cvprw53098.2021.00267
  • OpenAlex ID W3174590302
  • Type Conference-paper
  • Language EN
  • Published 01 Jun 2021
  • Pages 2349–2358
  • Source IEEE/CVF Conference on Computer Vision a…
  • FWCI 1.31
  • Countries 1
  • Institutions 2
  • Added 05 Jul 2021
  • Updated 16 Oct 2026
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RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection

Conference-paper 2021 EN Green

Segmentation-based scene text detection methods have been widely adopted for arbitrary-shaped text detection recently, since they make accurate pixel-level predictions on curved text instances and can facilitate real-time inference without time-consuming processing on anchors. However, current segmentation-based models are unable to learn the shapes of curved texts and often require complex label…

23

Citations

44

References

5

Authors

1.31

FWCI

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5 authors
#AuthorInstitutionsORCID
1 Jiachen Li University of Illinois Urbana-… (US)
2 Yuan Lin — —
3 Rongrong Liu — —
4 Chiu Man Ho — —
5 Humphrey Shi University of Illinois Urbana-… (US) University of Oregon (US)

Data: OpenAlex