3 papers
cs.CV2026
Exchange Is All You Need for Remote Sensing Change Detection
Sijun Dong, Siming Fu, Kaiyu Li +3
Remote sensing change detection fundamentally relies on the effective fusion and discrimination of bi-temporal features. Prevailing paradigms typically utilize Siamese encoders bri…
cs.CV2025
Disentangling Content from Style to Overcome Shortcut Learning: A Hybrid Generative-Discriminative Learning Framework
Siming Fu, Sijun Dong, Xiaoliang Meng
Despite the remarkable success of Self-Supervised Learning (SSL), its generalization is fundamentally hindered by Shortcut Learning, where models exploit superficial features like…
cs.CV2025
A Remote Sensing Image Change Detection Method Integrating Layer Exchange and Channel-Spatial Differences
Sijun Dong, Fangcheng Zuo, Geng Chen +2
Change detection in remote sensing imagery is a critical technique for Earth observation, primarily focusing on pixel-level segmentation of change regions between bi-temporal image…