PathMamba: Novel AI Model Advances Road Segmentation in Satellite Imagery
Published:Nov 26, 2025 11:42
•1 min read
•ArXiv
Analysis
This research introduces a hybrid model, PathMamba, combining Mamba and Transformer architectures for improved road segmentation in satellite imagery. The focus on topological coherence suggests a valuable contribution to more accurate and reliable geospatial data analysis.
Key Takeaways
- •PathMamba utilizes a hybrid architecture of Mamba and Transformer.
- •The model targets topologically coherent road segmentation.
- •The research focuses on satellite imagery analysis.
Reference
“PathMamba is a hybrid model.”