# layumi/Seg-Uncertainty

<https://repo.masters-masters.com/en/repos/layumi/Seg-Uncertainty>

[Home](https://repo.masters-masters.com/en) › [layumi](https://repo.masters-masters.com/en/owners/layumi) › [Seg-Uncertainty](https://repo.masters-masters.com/en/repos/layumi/Seg-Uncertainty)

layumi/Seg-Uncertainty has 397 stars on GitHub. Its RepoMasters card: Alpha tier. IJCAI2020 & IJCV2021 :city\_sunrise: Unsupervised Scene Adaptation with…

| Field | Value |
| --- | --- |
| Owner | [layumi](https://repo.masters-masters.com/en/owners/layumi) |
| Stars | 397 |
| Forks | 53 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | ijcai, domain-adaptation, semantic-segmentation, pytorch, ijcai2020, pytorch-implementation, gta5, cityscapes, synthia, robotcar |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [layumi/Seg-Uncertainty](https://github.com/layumi/Seg-Uncertainty) |

## Repository

IJCAI2020 & IJCV2021 :city\_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

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

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