RSCA: Real-time Segmentation-based Context-Aware Scene Text …
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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
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44
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1.31
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5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 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) |
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