sstary/SSRS
PyTorch implementations of deep learning models (SAM, Mamba, Transformers) for semantic segmentation of remote sensing imagery.

This repository provides implementations of multiple research works on semantic segmentation for remote sensing applications. It includes SAM-based methods (MFNet, SAM_RS), Mamba-based architectures (RS3Mamba), multimodal fusion networks (CMFNet, ASMFNet), and unsupervised domain adaptation techniques for domain shift problems. The work focuses on very high resolution satellite imagery and relies on PyTorch as the primary deep learning framework.