# LUSSeg/ImageNet-S

<https://repo.masters-masters.com/en/repos/LUSSeg/ImageNet-S>

[Home](https://repo.masters-masters.com/en) › [LUSSeg](https://repo.masters-masters.com/en/owners/LUSSeg) › [ImageNet-S](https://repo.masters-masters.com/en/repos/LUSSeg/ImageNet-S)

LUSSeg/ImageNet-S has 191 stars on GitHub. Its RepoMasters card: Prototype tier. (TPAMI2022) The ImageNet-S benchmark/method for large-scale… Language: Python.

| Field | Value |
| --- | --- |
| Owner | [LUSSeg](https://repo.masters-masters.com/en/owners/LUSSeg) |
| Stars | 191 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [LUSSeg/ImageNet-S](https://github.com/LUSSeg/ImageNet-S) |

## Repository

(TPAMI2022) The ImageNet-S benchmark/method for large-scale unsupervised/semi-supervised semantic segmentation.

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.