Methods › Computer Vision › Object Detection Models › Grid R-CNN
Grid R-CNN
Introduced by Xin Lu et al. in Grid R-CNN
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Grid R-CNN is an object detection framework, where the traditional regression formulation is replaced by a grid point guided localization mechanism.
Grid R-CNN divides the object bounding box region into grids and employs a fully convolutional network (FCN) to predict the locations of grid points. Owing to the position sensitive property of fully convolutional architecture, Grid R-CNN maintains the explicit spatial information and grid points locations can be obtained in pixel level. When a certain number of grid points at specified location are known, the corresponding bounding box is definitely determined. Guided by the grid points, Grid R-CNN can determine more accurate object bounding box than regression method which lacks the guidance of explicit spatial information.
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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Enhancing Tree Type Detection in Forest Fire Risk Assessment: Multi-Stage Approach and Color Encoding with Forest Fire Risk Evaluation Framework for UAV Imagery 27 Jul 2024 · 0 repositories · arXiv:2407.19184
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CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection 7 Mar 2020 · 1 repository · arXiv:2003.03570
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Grid R-CNN Plus: Faster and Better 13 Jun 2019 · 2 repositories · arXiv:1906.05688
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Grid R-CNN 29 Nov 2018 · 2 repositories · arXiv:1811.12030Syntology ran 0 of 3 samples · 3 unverified
Tasks archive 2025-07-28
9 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 | 4 |
| object-detection | 3 |
| 2D Object Detection | 1 |
| Fire Detection | 1 |
| Management | 1 |
| Novel Object Detection | 1 |
| Object | 1 |
| Object Localization | 1 |
| regression | 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