# AeroVILab-AHU/LWGANet

<https://repo.masters-masters.com/en/repos/AeroVILab-AHU/LWGANet>

[Home](https://repo.masters-masters.com/en) › [AeroVILab-AHU](https://repo.masters-masters.com/en/owners/AeroVILab-AHU) › [LWGANet](https://repo.masters-masters.com/en/repos/AeroVILab-AHU/LWGANet)

AeroVILab-AHU/LWGANet has 144 stars on GitHub. Its RepoMasters card: Prototype tier. \[AAAI 2026 (Oral)\] LWGANet: Addressing Spatial and Channel Redundancy in…

| Field | Value |
| --- | --- |
| Owner | [AeroVILab-AHU](https://repo.masters-masters.com/en/owners/AeroVILab-AHU) |
| Stars | 144 |
| Forks | 6 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AeroVILab-AHU/LWGANet](https://github.com/AeroVILab-AHU/LWGANet) |

## Repository

\[AAAI 2026 (Oral)\] LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention

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.