Methods › Computer Vision › Object Detection Models › CentripetalNet
CentripetalNet
Introduced by Zhiwei Dong et al. in CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CentripetalNet is a keypoint-based detector which uses centripetal shift to pair corner keypoints from the same instance. CentripetalNet predicts the position and the centripetal shift of the corner points and matches corners whose shifted results are aligned.
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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CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection 20 Mar 2020 · 2 repositories · arXiv:2003.09119
Tasks archive 2025-07-28
6 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 |
|---|---|
| Instance Segmentation | 1 |
| Object Detection | 1 |
| Position | 1 |
| Semantic Segmentation | 1 |
| Vocal Bursts Intensity Prediction | 1 |
| object-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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