2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Remote Sensing Retrieval-Augmented Generation: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model
Congcong Wen, Yiting Lin, Xiaokang Qu +4
Recent progress in VLMs has demonstrated impressive capabilities across a variety of tasks in the natural image domain. Motivated by these advancements, the remote sensing communit…
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing
Hui Lin, Nan Li, Pengjuan Yao +5
Remote sensing object detection is particularly challenging due to the high resolution, multi-scale features, and diverse ground object characteristics inherent in satellite and UA…
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
Hui Lin, Chao Zhang, Danfeng Hong +2
Remote sensing data is often distributed across multiple institutions, and due to privacy concerns and data-sharing restrictions, leveraging large-scale datasets in a centralized t…
RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering
Hui Lin, Danfeng Hong, Shuhang Ge +4
Remote Sensing Image Captioning (RSIC) presents unique challenges and plays a critical role in applications. Traditional RSIC methods often struggle to produce rich and diverse des…