4 papers
EarthGPT-X: A Spatial MLLM for Multi-level Multi-Source Remote Sensing Imagery Understanding with Visual Prompting
Wei Zhang, Miaoxin Cai, Yaqian Ning +6
Recent advances in natural-domain multi-modal large language models (MLLMs) have demonstrated effective spatial reasoning through visual and textual prompting. However, their direc…
RS-TinyNet: Stage-wise Feature Fusion Network for Detecting Tiny Objects in Remote Sensing Images
Xiaozheng Jiang, Wei Zhang, Xuerui Mao
Detecting tiny objects in remote sensing (RS) imagery has been a long-standing challenge due to their extremely limited spatial information, weak feature representations, and dense…
UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers
Wei Zhang, Yuantao Wang, Haowei Yang +3
Real-world object detection is a challenging task where the captured images/videos often suffer from complex degradations due to various adverse weather conditions such as rain, fo…
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Wei Zhang, Miaoxin Cai, Tong Zhang +3
Recent advances in prompt learning have allowed users to interact with artificial intelligence (AI) tools in multi-turn dialogue, enabling an interactive understanding of images. H…