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cs.CV2026
Lightweight Adaptation of General-Purpose VLMs for Multispectral and SAR Image Understanding
Shanji Liu, Kelu Yao, Junxiao Xue +5
General-purpose vision-language models (VLMs) now support strong visual recognition, instruction following, and generation. However, most pretrained visual encoders are built aroun…
cs.CV2025
Towards Comprehensive Interactive Change Understanding in Remote Sensing: A Large-scale Dataset and Dual-granularity Enhanced VLM
Junxiao Xue, Quan Deng, Xuecheng Wu +7
Remote sensing change understanding (RSCU) is essential for analyzing remote sensing images and understanding how human activities affect the environment. However, existing dataset…