Methods › Computer Vision › Image Data Augmentation › Sample Redistribution
Sample Redistribution
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Sample Redistribution is a data augmentation technique for face detection which augments training samples based on the statistics of benchmark datasets via large-scale cropping. During training data augmentation, square patches are cropped from the original images with a random size from the set [0.3,1.0] of the short edge of the original images. To generate more positive samples for stride 8, the random size range is enlarged from [0.3,1.0] to [0.3,2.0]. When the crop box is beyond the original image, average RGB values fill the missing pixels.
The motivation is that for efficient face detection under a fixed VGA resolution (i.e. 640×480), most of the faces (78.93%) in WIDER FACE are smaller than 32×32 pixels, and thus they are predicted by shallow stages. To obtain more training samples for these shallow stages, Sample Redistribution (SR) is used.
Papers archive 2025-07-28
1 shown of 1, 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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Sample and Computation Redistribution for Efficient Face Detection 10 May 2021 · 8 repositories · arXiv:2105.04714Syntology ran 3 of 7 samples · 4 unverified
Tasks archive 2025-07-28
1 task 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 |
|---|---|
| Face 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
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