Methods › Computer Vision › Text Instance Representations › Fourier Contour Embedding
Fourier Contour Embedding
Introduced by Yiqin Zhu et al. in Fourier Contour Embedding for Arbitrary-Shaped Text Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Fourier Contour Embedding is a text instance representation that allows networks to learn diverse text geometry variances. Most of existing methods model text instances in image spatial domain via masks or contour point sequences in the Cartesian or the polar coordinate system. However, the mask representation might lead to expensive post-processing, while the point sequence one may have limited capability to model texts with highly-curved shapes. This motivates modeling text instances in the Fourier domain.
Papers archive 2025-07-28
1 shown of 1, 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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Fourier Contour Embedding for Arbitrary-Shaped Text Detection 21 Apr 2021 · 12 repositories · arXiv:2104.10442Syntology ran 2 of 7 samples · 5 unverified
Tasks archive 2025-07-28
2 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 |
|---|---|
| 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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections