The overview of our proposed RefAtt-SAM.
If you find our project useful in you own research, please consider cite our paper below.
@ARTICLE{11396980,
author={Wei, Xingji and Liu, Nanqing and Lei, Sen and Li, Heng-Chao},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Reference and Attention Guided Few-Shot Adaptation of Segment Anything Model for Remote Sensing Images},
year={2026},
volume={64},
number={},
pages={1-12},
keywords={Image segmentation;Remote sensing;Adaptation models;Decoding;Foundation models;Transformers;Bridges;Prototypes;Predictive models;Accuracy;Few-shot learning;fine-tuning;remote sensing images (RSIs);segment anything model (SAM)},
doi={10.1109/TGRS.2026.3664922}}