# LiheYoung/UniMatch

<https://repo.masters-masters.com/en/repos/LiheYoung/UniMatch>

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

LiheYoung/UniMatch has 587 stars on GitHub. Its RepoMasters card: Alpha tier. \[CVPR 2023\] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic…

| Field | Value |
| --- | --- |
| Owner | [LiheYoung](https://repo.masters-masters.com/en/owners/LiheYoung) |
| Stars | 587 |
| Forks | 62 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | fixmatch, semi-supervised-learning, semi-supervised-segmentation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [LiheYoung/UniMatch](https://github.com/LiheYoung/UniMatch) |

## Repository

\[CVPR 2023\] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by LiheYoung

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