Methods › Computer Vision › Face Recognition Models › PocketNet
PocketNet
Introduced by Fadi Boutros et al. in PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
PocketNet is a face recognition model family discovered through neural architecture search. The training is based on multi-step knowledge distillation.
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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Two Stage Segmentation of Cervical Tumors using PocketNet 17 Sep 2024 · 0 repositories · arXiv:2409.11456
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PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation 24 Aug 2021 · 1 repository · arXiv:2108.10710
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 |
|---|---|
| Anatomy | 1 |
| Computed Tomography (CT) | 1 |
| Face Recognition | 1 |
| Knowledge Distillation | 1 |
| Lightweight Face Recognition | 1 |
| Neural Architecture Search | 1 |
| Organ Segmentation | 1 |
| Segmentation | 1 |
| Tumor Segmentation | 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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