Methods › Computer Vision › Image Data Augmentation › SuperpixelGridMasks
SuperpixelGridCut, SuperpixelGridMean, SuperpixelGridMix
SuperpixelGridMasks
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika and Mahmoud Melkemi. SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation, arXiv:2204.08458, 2022. https://doi.org/10.48550/arxiv.2204.08458
Papers archive 2025-07-28
2 shown of 2, 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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SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation 11 Apr 2022 · 1 repository · arXiv:2204.08458
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ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment 24 Nov 2021 · 1 repository · arXiv:2111.12460
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.
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