Search Results for author:
Found 2 papers, 1 papers with code
ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning
Following this trend, in this study, we introduce ChangeCLIP, a novel framework that leverages robust semantic information from image-text pairs, specifically tailored for Remote Sensing Change Detection (RSCD).
Ranked #4 on
Change Detection
on CDD Dataset (season-varying)
MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images
Semantic segmentation of remote sensing images plays a vital role in a wide range of Earth Observation (EO) applications, such as land use land cover mapping, environment monitoring, and sustainable development.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
