WangLibo1995/GeoSeg
UNetFormer provides transformer-based semantic segmentation for remote sensing and urban scene imagery using PyTorch and vision transformers.

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The repository implements a UNet-like transformer architecture for efficient semantic segmentation of remote sensing urban scenes, published at ISPRS. It supports various vision transformers and CNN backbones for segmenting satellite, aerial, and UAV imagery. The code is built on PyTorch and PyTorch Lightning with multi-GPU training support and provides pretrained model weights for backbones.