--- 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) ## 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} } ```