Methods › Computer Vision › Object Detection Models › F2DNet
Fast Focal Detection Network
F2DNet
Introduced by Abdul Hannan Khan et al. in F2DNet: Fast Focal Detection Network for Pedestrian Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
F2DNet, a novel two-stage object detection architecture which eliminates redundancy of classical two-stage detectors by replacing the region proposal network with focal detection network and bounding box head with fast suppression head.
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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F2DNet: Fast Focal Detection Network for Pedestrian Detection 4 Mar 2022 · 2 repositories · arXiv:2203.02331
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 Detection | 1 |
| Pedestrian Detection | 1 |
| Region Proposal | 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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