3 papers
cs.CV2025
Advancing Weakly-Supervised Change Detection in Satellite Images via Adversarial Class Prompting
Zhenghui Zhao, Chen Wu, Di Wang +5
Weakly-Supervised Change Detection (WSCD) aims to distinguish specific object changes (e.g., objects appearing or disappearing) from background variations (e.g., environmental chan…
cs.CV2025
UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization
Cuiqun Chen, Qi Chen, Bin Yang +1
Cross-view geo-localization (CVGL) matches query images (, drone) to geographically corresponding opposite-view imagery (, satellite). While supervise…
cs.CV2025
Plug-and-Play DISep: Separating Dense Instances for Scene-to-Pixel Weakly-Supervised Change Detection in High-Resolution Remote Sensing Images
Zhenghui Zhao, Chen Wu, Lixiang Ru +3
Existing Weakly-Supervised Change Detection (WSCD) methods often encounter the problem of "instance lumping" under scene-level supervision, particularly in scenarios with a dense d…