Methods › General › Attention Modules › LeViT Attention Block
LeViT Attention Block
Introduced by Ben Graham et al. in LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
LeViT Attention Block is a module used for attention in the LeViT architecture. Its main feature is providing positional information within each attention block, i.e. where we explicitly inject relative position information in the attention mechanism. This is achieved by adding an attention bias to the attention maps.
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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Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping 5 Dec 2023 · 1 repository · arXiv:2312.02762
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LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference 2 Apr 2021 · 12 repositories · arXiv:2104.01136Syntology ran 23 of 30 samples · 7 unverified
Tasks archive 2025-07-28
5 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 |
|---|---|
| Anomaly Detection | 1 |
| CPU | 1 |
| General Classification | 1 |
| Image Classification | 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
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