Methods › General › Loss Functions › Varifocal Loss
Varifocal Loss
Introduced by Haoyang Zhang et al. in VarifocalNet: An IoU-aware Dense Object Detector
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Varifocal Loss is a loss function for training a dense object detector to predict the IACS, inspired by focal loss. Unlike the focal loss that deals with positives and negatives equally, Varifocal Loss treats them asymmetrically.
VFL(p, q) = −q(qlog(p) + (1 − q)log(1 − p)) if q > 0
VFL(p, q) = −αp^γlog(1-p)
where p is the predicted IACS and q is the target IoU score.
For a positive training example, q is set as the IoU between the generated bounding box and the ground-truth one (gt IoU), whereas for a negative training example, the training target q for all classes is $0$.
Papers archive 2025-07-28
8 shown of 8, 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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Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT 8 Apr 2025 · 0 repositories · arXiv:2504.05591
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Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation 7 Apr 2025 · 0 repositories · arXiv:2504.05196
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Comparing Surface Landmine Object Detection Models on a New Drone Flyby Dataset 17 Oct 2024 · 0 repositories · arXiv:2410.19807
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How to Train an Accurate and Efficient Object Detection Model on Any Dataset 30 Nov 2022 · 1 repository · arXiv:2211.17170
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Universal Lymph Node Detection in T2 MRI using Neural Networks 31 Mar 2022 · 0 repositories · arXiv:2204.00622
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Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection 14 Feb 2022 · 6 repositories · arXiv:2202.06934Syntology ran 1 of 19 samples · 18 unverified
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SWA Object Detection 23 Dec 2020 · 2 repositories · arXiv:2012.12645
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VarifocalNet: An IoU-aware Dense Object Detector 31 Aug 2020 · 4 repositories · arXiv:2008.13367Syntology ran 2 of 2 samples · 0 unverified
Tasks archive 2025-07-28
12 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 | 5 |
| object-detection | 4 |
| Object | 3 |
| Sensitivity | 2 |
| CPU | 1 |
| General Classification | 1 |
| Instance Segmentation | 1 |
| Landmine | 1 |
| Lesion Detection | 1 |
| Semantic Segmentation | 1 |
| Small Object Detection | 1 |
| TAG | 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