Methods › Computer Vision › Localization Models › IoU-Net
IoU-Net
Introduced by Borui Jiang et al. in Acquisition of Localization Confidence for Accurate Object Detection
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
IoU-Net is an object detection architecture that introduces localization confidence. IoU-Net learns to predict the IoU between each detected bounding box and the matched ground-truth. The network acquires this confidence of localization, which improves the NMS procedure by preserving accurately localized bounding boxes. Furthermore, an optimization-based bounding box refinement method is proposed, where the predicted IoU is formulated as the objective.
Papers archive 2025-07-28
3 shown of 3, 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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3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds 10 Apr 2020 · 0 repositories · arXiv:2004.04962
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Multi-Modal Fusion for End-to-End RGB-T Tracking 30 Aug 2019 · 1 repository · arXiv:1908.11714
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Acquisition of Localization Confidence for Accurate Object Detection 30 Jul 2018 · 4 repositories · arXiv:1807.11590Syntology ran 2 of 18 samples · 16 unverified
Tasks archive 2025-07-28
8 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 |
|---|---|
| regression | 2 |
| General Classification | 1 |
| Image-to-Image Translation | 1 |
| Object | 1 |
| Object Detection | 1 |
| Prediction | 1 |
| Rgb-T Tracking | 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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