Methods › Computer Vision › Convolutional Neural Networks › MultiGrain
MultiGrain
Introduced by Maxim Berman et al. in MultiGrain: a unified image embedding for classes and instances
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
MultiGrain is a type of image model that learns a single embedding for classes, instances and copies. In other words, it is a convolutional neural network that is suitable for both image classification and instance retrieval. We learn MultiGrain by jointly training an image embedding for multiple tasks. The resulting representation is compact and can outperform narrowly-trained embeddings. The learned embedding output incorporates different levels of granularity.
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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Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale 26 May 2024 · 1 repository · arXiv:2405.16608Syntology ran 10 of 17 samples · 7 unverified
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MultiGrain: a unified image embedding for classes and instances 14 Feb 2019 · 3 repositories · arXiv:1902.05509Syntology ran 1 of 4 samples · 3 unverified
Tasks archive 2025-07-28
9 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 |
|---|---|
| Classification | 1 |
| Data Augmentation | 1 |
| General Classification | 1 |
| Image Classification | 1 |
| Image Retrieval | 1 |
| Object | 1 |
| Physical Simulations | 1 |
| Retrieval | 1 |
| image-classification | 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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