Methods › Computer Vision › One-Stage Object Detection Models › CornerNet-Saccade
CornerNet-Saccade
Introduced by Hei Law et al. in CornerNet-Lite: Efficient Keypoint Based Object Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
CornerNet-Saccade is an extension of CornerNet with an attention mechanism similar to saccades in human vision. It starts with a downsized full image and generates an attention map, which is then zoomed in on and processed further by the model. This differs from the original CornerNet in that it is applied fully convolutionally across multiple scales.
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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CornerNet-Lite: Efficient Keypoint Based Object Detection 18 Apr 2019 · 6 repositories · arXiv:1904.08900Syntology ran 1 of 27 samples · 26 unverified
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 |
|---|---|
| Object | 1 |
| Object Detection | 1 |
| Real-Time Object Detection | 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
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