Methods › Computer Vision › Vision Transformers › LeVIT
LeVIT
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 is a hybrid neural network for fast inference image classification. LeViT is a stack of transformer blocks, with pooling steps to reduce the resolution of the activation maps as in classical convolutional architectures. This replaces the uniform structure of a Transformer by a pyramid with pooling, similar to the LeNet architecture
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