Methods › Computer Vision › One-Stage Object Detection Models › FoveaBox
FoveaBox
Introduced by Tao Kong et al. in FoveaBox: Beyond Anchor-based Object Detector
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
FoveaBox is anchor-free framework for object detection. Instead of using predefined anchors to enumerate possible locations, scales and aspect ratios for the search of the objects, FoveaBox directly learns the object existing possibility and the bounding box coordinates without anchor reference. This is achieved by: (a) predicting category-sensitive semantic maps for the object existing possibility, and (b) producing category-agnostic bounding box for each position that potentially contains an object. The scales of target boxes are naturally associated with feature pyramid representations for each input image
It is a single, unified network composed of a backbone network and two task-specific subnetworks. The backbone is responsible for computing a convolutional feature map over an entire input image and is an off-the-shelf convolutional network. The first subnet performs per pixel classification on the backbone’s output; the second subnet performs bounding box prediction for the corresponding position.
Papers archive 2025-07-28
4 shown of 4, 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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Aedes aegypti Egg Counting with Neural Networks for Object Detection 12 Mar 2024 · 0 repositories · arXiv:2403.08016
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Universal Lymph Node Detection in T2 MRI using Neural Networks 31 Mar 2022 · 0 repositories · arXiv:2204.00622
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FoveaBox: Beyound Anchor-based Object Detection 1 Jan 2020 · 0 repositories
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FoveaBox: Beyond Anchor-based Object Detector 8 Apr 2019 · 7 repositories · arXiv:1904.03797
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 | 3 |
| object-detection | 3 |
| Object | 2 |
| Sensitivity | 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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