Methods › Computer Vision › RoI Feature Extractors › GRoIE
Generic RoI Extractor
GRoIE
Introduced by Leonardo Rossi et al. in A novel Region of Interest Extraction Layer for Instance Segmentation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
GroIE is an RoI extractor which intends to overcome the limitation of existing extractors which select only one (the best) layer from the FPN. The intuition is that all the layers of FPN retain useful information. Therefore, the proposed layer introduces non-local building blocks and attention mechanisms to boost the performance.
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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Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing 3 Apr 2021 · 1 repository · arXiv:2104.01329
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A novel Region of Interest Extraction Layer for Instance Segmentation 28 Apr 2020 · 5 repositories · arXiv:2004.13665
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 |
|---|---|
| Instance Segmentation | 2 |
| Object Detection | 2 |
| Semantic Segmentation | 2 |
| Segmentation | 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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