Methods › General › Prioritized Sampling › IoU-Balanced Sampling
IoU-Balanced Sampling
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
IoU-Balanced Sampling is hard mining method for object detection. Suppose we need to sample N negative samples from M corresponding candidates. The selected probability for each sample under random sampling is:
p = N/M
To raise the selected probability of hard negatives, we evenly split the sampling interval into K bins according to IoU. N demanded negative samples are equally distributed to each bin. Then we select samples from them uniformly. Therefore, we get the selected probability under IoU-balanced sampling:
pₖ = N/K*1/Mₖ , k∈[0, K)
where Mₖ is the number of sampling candidates in the corresponding interval denoted by k. K is set to 3 by default in our experiments.
The sampled histogram with IoU-balanced sampling is shown by green color in the Figure to the right. The IoU-balanced sampling can guide the distribution of training samples close to the one of hard negatives.
Papers archive 2025-07-28
6 shown of 6, 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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Enhancing Tree Type Detection in Forest Fire Risk Assessment: Multi-Stage Approach and Color Encoding with Forest Fire Risk Evaluation Framework for UAV Imagery 27 Jul 2024 · 0 repositories · arXiv:2407.19184
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Online progressive instance-balanced sampling for weakly supervised object detection 21 Jun 2022 · 0 repositories · arXiv:2206.10324
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Fracture Detection in Wrist X-ray Images Using Deep Learning-Based Object Detection Models 14 Nov 2021 · 0 repositories · arXiv:2111.07355
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Towards Balanced Learning for Instance Recognition 23 Aug 2021 · 0 repositories · arXiv:2108.10175
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PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy 10 Mar 2020 · 0 repositories · arXiv:2003.04541
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Libra R-CNN: Towards Balanced Learning for Object Detection 4 Apr 2019 · 6 repositories · arXiv:1904.02701
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