Methods › Computer Vision › Scene Text Models › ABCNet
Adaptive Bezier-Curve Network
ABCNet
Introduced by Yuliang Liu et al. in ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Adaptive Bezier-Curve Network, or ABCNet, is an end-to-end framework for arbitrarily-shaped scene text spotting. It adaptively fits arbitrary-shaped text by a parameterized bezier curve. It also utilizes a feature alignment layer, BezierAlign, to calculate convolutional features of text instances in curved shapes. These features are then passed to a light-weight recognition head.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting 8 May 2021 · 1 repository · arXiv:2105.03620
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DocBank: A Benchmark Dataset for Document Layout Analysis 1 Jun 2020 · 2 repositories · arXiv:2006.01038
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ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network 24 Feb 2020 · 16 repositories · arXiv:2002.10200Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Text Spotting | 2 |
| Document Layout Analysis | 1 |
| Scene Text Detection | 1 |
| Text Detection | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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