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---
license: apache-2.0
pipeline_tag: image-segmentation
tags:
- building-extraction
- remote-sensing
---
# UAGLNet: Uncertainty-Aggregated Global-Local Fusion Network with Cooperative CNN-Transformer for Building Extraction
This repository contains the official implementation of **UAGLNet**, a model for building extraction from remote sensing images, as presented in the paper *"UAGLNet: Uncertainty-Aggregated Global-Local Fusion Network with Cooperative CNN-Transformer for Building Extraction"*.
UAGLNet addresses the challenges of building extraction from remote sensing images due to complex structure variations. It proposes an Uncertainty-Aggregated Global-Local Fusion Network capable of exploiting high-quality global-local visual semantics under the guidance of uncertainty modeling. Specifically, it features a novel cooperative encoder with hybrid CNN and transformer layers, an intermediate cooperative interaction block (CIB) to narrow feature gaps, and a Global-Local Fusion (GLF) module. Additionally, an Uncertainty-Aggregated Decoder (UAD) is introduced to explicitly estimate pixel-wise uncertainty and mitigate segmentation ambiguity in uncertain regions.
## Paper
* **ArXiv:** [2512.12941](https://arxiv.org/abs/2512.12941)
* **Hugging Face Papers:** [2512.12941](https://huggingface.co/papers/2512.12941)
## Code
* **GitHub Repository:** [Dstate/UAGLNet](https://github.com/Dstate/UAGLNet)
* **Hugging Face Collection:** [ldxxx/uaglnet](https://huggingface.co/collections/ldxxx/uaglnet)
<img width="1000" src="https://github.com/Dstate/UAGLNet/raw/main/assets/architecture2.png">
## Main Results
The following table presents the performance of UAGLNet on building extraction benchmarks.
| **Benchmark** | **IoU** | **F1** | **P** | **R** | **Weight** |
| :-------: | :--------: | :--------: | :-----------: | :------: | :------: |
| Inria | 83.74 | 91.15 | 92.09 | 90.22 | [UAGLNet_Inria](https://huggingface.co/ldxxx/UAGLNet_Inria) |
| Mass | 76.97 | 86.99 | 88.28 | 85.73 | [UAGLNet_Mass](https://huggingface.co/ldxxx/UAGLNet_Massachusetts) |
| WHU | 92.07 | 95.87 | 96.21 | 95.54 | [UAGLNet_WHU](https://huggingface.co/ldxxx/UAGLNet_WHU) |
## Citation
If you find this project useful in your research, please cite it as:
```bibtex
@article{UAGLNet,
title = {UAGLNet: Uncertainty-Aggregated Global-Local Fusion Network with Cooperative CNN-Transformer for Building Extraction},
author = {Siyuan Yao and Dongxiu Liu and Taotao Li and Shengjie Li and Wenqi Ren and Xiaochun Cao},
journal = {arXiv preprint arXiv:2512.12941},
year = {2025}
}
``` |