Papers › Region Proposal by Guided Anchoring
Region Proposal by Guided Anchoring
Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin
Region anchors are the cornerstone of modern object detection techniques. State-of-the-art detectors mostly rely on a dense anchoring scheme, where anchors are sampled uniformly over the spatial domain with a predefined set of scales and aspect ratios. In this paper, we revisit this foundational stage. Our study shows that it can be done much more effectively and efficiently. Specifically, we present an alternative scheme, named Guided Anchoring, which leverages semantic features to guide the anchoring. The proposed method jointly predicts the locations where the center of objects of interest are likely to exist as well as the scales and aspect ratios at different locations. On top of predicted anchor shapes, we mitigate the feature inconsistency with a feature adaption module. We also study the use of high-quality proposals to improve detection performance. The anchoring scheme can be seamlessly integrated into proposal methods and detectors. With Guided Anchoring, we achieve 9.1% higher recall on MS COCO with 90% fewer anchors than the RPN baseline. We also adopt Guided Anchoring in Fast R-CNN, Faster R-CNN and RetinaNet, respectively improving the detection mAP by 2.2%, 2.7% and 1.2%. Code will be available at https://github.com/open-mmlab/mmdetection.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Object Detection | COCO test-dev | GA-Faster-RCNN | AP50 | 59.2 | #200 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | GA-Faster-RCNN | AP75 | 43.5 | #200 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | GA-Faster-RCNN | APL | 50.7 | #200 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | GA-Faster-RCNN | APM | 42.6 | #200 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | GA-Faster-RCNN | APS | 21.8 | #200 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | GA-Faster-RCNN | box mAP | 39.8 | #200 of 225 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
Introduced by this paper: Guided Anchoring
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