Methods › Computer Vision › Image Models › DeepViT
DeepViT
Introduced by Daquan Zhou et al. in DeepViT: Towards Deeper Vision Transformer
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
DeepViT is a type of vision transformer that replaces the self-attention layer within the transformer block with a Re-attention module to address the issue of attention collapse and enables training deeper ViTs.
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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On the Calibration of Human Pose Estimation 28 Nov 2023 · 0 repositories · arXiv:2311.17105
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DeepViT: Towards Deeper Vision Transformer 22 Mar 2021 · 5 repositories · arXiv:2103.11886Syntology ran 1 of 1 samples · 0 unverified
Tasks archive 2025-07-28
6 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 |
|---|---|
| 2D Human Pose Estimation | 1 |
| Human Mesh Recovery | 1 |
| Image Classification | 1 |
| Pose Estimation | 1 |
| Representation Learning | 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