# XiaLiPKU/EMANet

<https://repo.masters-masters.com/en/repos/XiaLiPKU/EMANet>

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

XiaLiPKU/EMANet has 684 stars on GitHub. Its RepoMasters card: Alpha tier. The code for Expectation-Maximization Attention Networks for Semantic Segmentation…

| Field | Value |
| --- | --- |
| Owner | [XiaLiPKU](https://repo.masters-masters.com/en/owners/XiaLiPKU) |
| Stars | 684 |
| Forks | 127 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2019 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [XiaLiPKU/EMANet](https://github.com/XiaLiPKU/EMANet) |

## Repository

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

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.