# FantasticGNU/UniVAD

<https://repo.masters-masters.com/en/repos/FantasticGNU/UniVAD>

[Home](https://repo.masters-masters.com/en) › [FantasticGNU](https://repo.masters-masters.com/en/owners/FantasticGNU) › [UniVAD](https://repo.masters-masters.com/en/repos/FantasticGNU/UniVAD)

FantasticGNU/UniVAD has 229 stars on GitHub. Its RepoMasters card: Prototype tier. \[CVPR 2025\] UniVAD: A Training-free Unified Model for Few-shot Visual…

| Field | Value |
| --- | --- |
| Owner | [FantasticGNU](https://repo.masters-masters.com/en/owners/FantasticGNU) |
| Stars | 229 |
| Forks | 24 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [FantasticGNU/UniVAD](https://github.com/FantasticGNU/UniVAD) |

## Repository

\[CVPR 2025\] UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
