Methods › Computer Vision › One-Stage Object Detection Models › RFB Net
RFB Net
Introduced by Songtao Liu et al. in Receptive Field Block Net for Accurate and Fast Object Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
RFB Net is a one-stage object detector that utilises a receptive field block module. It utilises a VGG16 backbone, and is otherwise quite similar to the SSD architecture.
Papers archive 2025-07-28
2 shown of 2, 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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Efficient Face Detection in the Fisheye Image Domain 14 Jun 2021 · 0 repositories
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Receptive Field Block Net for Accurate and Fast Object Detection 21 Nov 2017 · 7 repositories · arXiv:1711.07767Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
Tasks archive 2025-07-28
5 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 |
|---|---|
| CPU | 1 |
| Face Detection | 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