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.AI2024
Advancements in Visual Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniques
Lijie Tao, Haokui Zhang, Haizhao Jing +4
Recently, the remarkable success of ChatGPT has sparked a renewed wave of interest in artificial intelligence (AI), and the advancements in visual language models (VLMs) have pushe…