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README.md
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# RSRefSeg Checkpoints
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This repository hosts two SigLIP2 + SAM checkpoints from the “Generalized Referring Expression Segmentation on Aerial Photos” project:
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- **`rsrefseg_combined.pt`** — trained on all five datasets (Aerial-D, RefSegRS, RRSIS-D, NWPU-Refer, Urban1960SatSeg) using the RSRefSeg-L configuration with `facebook/sam-vit-large`.
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- **`rsrefseg_aerial-d.pt`** — trained exclusively on the Aerial-D dataset with the standard RSRefSeg (SAM ViT-Base) setup.
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Both checkpoints expect the same tokenizer/text encoder as the training codebase and can be evaluated with `rsrefseg/test.py`.
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