# JIA-Lab-research/MOOD

<https://repo.masters-masters.com/en/repos/JIA-Lab-research/MOOD>

[Home](https://repo.masters-masters.com/en) › [JIA-Lab-research](https://repo.masters-masters.com/en/owners/JIA-Lab-research) › [MOOD](https://repo.masters-masters.com/en/repos/JIA-Lab-research/MOOD)

JIA-Lab-research/MOOD has 137 stars on GitHub. Its RepoMasters card: Prototype tier. Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking…

| Field | Value |
| --- | --- |
| Owner | [JIA-Lab-research](https://repo.masters-masters.com/en/owners/JIA-Lab-research) |
| Stars | 137 |
| Forks | 7 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | outlier-detection, cvpr2023, ood-detection, pytorch, masked-image-modeling |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [JIA-Lab-research/MOOD](https://github.com/JIA-Lab-research/MOOD) |

## Repository

Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution Detection.

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

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