Papers › Corner Proposal Network for Anchor-free, Two-stage Object Detection
Corner Proposal Network for Anchor-free, Two-stage Object Detection
Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian
The goal of object detection is to determine the class and location of objects in an image. This paper proposes a novel anchor-free, two-stage framework which first extracts a number of object proposals by finding potential corner keypoint combinations and then assigns a class label to each proposal by a standalone classification stage. We demonstrate that these two stages are effective solutions for improving recall and precision, respectively, and they can be integrated into an end-to-end network. Our approach, dubbed Corner Proposal Network (CPN), enjoys the ability to detect objects of various scales and also avoids being confused by a large number of false-positive proposals. On the MS-COCO dataset, CPN achieves an AP of 49.2% which is competitive among state-of-the-art object detection methods. CPN also fits the scenario of computational efficiency, which achieves an AP of 41.6%/39.7% at 26.2/43.3 FPS, surpassing most competitors with the same inference speed. Code is available at https://github.com/Duankaiwen/CPNDet
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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 | CPNDet (Hourglass-104, multi-scale) | AP50 | 67.3 | #98 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | AP75 | 53.7 | #98 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | APL | 62.4 | #98 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | APM | 51.9 | #98 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | APS | 31.0 | #98 of 225 | Archive leaderboard | report |
| Object Detection | COCO test-dev | CPNDet (Hourglass-104, multi-scale) | box mAP | 49.2 | #98 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
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