The manuscript is in the peer review process and thus only the evaluation code is avalible~
The training code will be released once it is accepted~ Coming Soon~
1.WHU building
2.DeepGlobe
3.Typical City Building Dataset
- torch
- torchvision
- pillow
- cv2
Clone the repository:git clone https://github.com/HaonanGuo/BFSeg-Efficient-Building-Footprint-Segmentation-Framework.git
->Run s2_Eval_BFSeg.py to evaluate the performance of BFSeg
Dont forget to download the model weights before evaluation:
| Dataset | WHU | DeepGlobe | Typical City |
|---|---|---|---|
| Backbone | ConvNext | ConvNext | ConvNext |
| Backbone | SwinTrans | SwinTrans | SwinTrans |
Any question? Please contact us with: haonan.guo@whu.edu.cn