2 papers
cs.CV2026
GeoVista: Visually Grounded Active Perception for Vision-Language Understanding of Ultra-High-Resolution Remote Sensing Images
Jiashun Zhu, Ronghao Fu, Jiasen Hu +3
Interpreting ultra-high-resolution (UHR) remote sensing images requires models to search for sparse and tiny visual evidence across large-scale scenes. Existing remote sensing visi…
cs.CV2026
SkyNative: A Native Multimodal Architecture for Remote Sensing Vision-Language Understanding
Xiao Yang, Ronghao Fu, Zhiwen Lin +10
Remote sensing vision-language models (RS-VLMs) commonly employ a pretrained vision encoder and a projection module to map image features into the token space of a large language m…