Methods › General › Loss Functions › Metrix
Metric mixup
Metrix
Introduced by Shashanka Venkataramanan et al. in It Takes Two to Tango: Mixup for Deep Metric Learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A generic way of representing and interpolating labels, which allows straightforward extension of any kind of mixup to deep metric learning for a large class of loss functions.
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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It Takes Two to Tango: Mixup for Deep Metric Learning 9 Jun 2021 · 1 repository · arXiv:2106.04990Syntology ran 2 of 2 samples · 0 unverified
Tasks archive 2025-07-28
4 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 |
|---|---|
| Data Augmentation | 1 |
| Metric Learning | 1 |
| Representation Learning | 1 |
| Vocal Bursts Valence Prediction | 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