# EnzeZhu2001/UNetMamba

<https://repo.masters-masters.com/en/repos/EnzeZhu2001/UNetMamba>

[Home](https://repo.masters-masters.com/en) › [EnzeZhu2001](https://repo.masters-masters.com/en/owners/EnzeZhu2001) › [UNetMamba](https://repo.masters-masters.com/en/repos/EnzeZhu2001/UNetMamba)

EnzeZhu2001/UNetMamba has 153 stars on GitHub. Its RepoMasters card: Prototype tier. \[IEEE GRSL\] The official implementation of UNetMamba: An Efficient…

| Field | Value |
| --- | --- |
| Owner | [EnzeZhu2001](https://repo.masters-masters.com/en/owners/EnzeZhu2001) |
| Stars | 153 |
| Forks | 8 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | mamba, remote-sensing, semantic-segmentation, high-resolution-rs-image |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [EnzeZhu2001/UNetMamba](https://github.com/EnzeZhu2001/UNetMamba) |

## Repository

\[IEEE GRSL\] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch

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.