2 papers
cs.CV2026
Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data
Xiangyang Miao, Kelu Yao, Yekai Huang +7
Contrastive language-image learning (CLIP) has become a key paradigm for remote sensing vision-language understanding. However, existing remote sensing contrastive learning methods…
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…