3 papers
cs.CV2026
When Vision Misleads, Let Location Speak: A Worldwide Image Geo-Localization Method via Location Attention Mechanism and Large Multimodal Models
Junchao Cui, Wenqi Shi, Xuanzi Ma +3
Worldwide image geo-localization aims to determine the capture location of an image on a global scale. Existing methods often mislocalize images by matching them to visually simila…
cs.CV2026
DualGeo: A Dual-View Framework for Worldwide Image Geo-localization
Junchao Cui, Wenqi Shi, Shaoyong Du +4
Worldwide image geo-localization aims to infer the geographic location of an image captured anywhere on Earth, spanning street, city, regional, national, and continental scales. Ex…
cs.CV2025
BS-Mamba for Black-Soil Area Detection On the Qinghai-Tibetan Plateau
Xuan Ma, Zewen Lv, Chengcai Ma +3
Extremely degraded grassland on the Qinghai-Tibetan Plateau (QTP) presents a significant environmental challenge due to overgrazing, climate change, and rodent activity, which degr…