4 papers
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…
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…
CFNet: Optimizing Remote Sensing Change Detection through Content-Aware Enhancement
Fan Wu, Sijun Dong, Xiaoliang Meng
Change detection is a crucial and widely applied task in remote sensing, aimed at identifying and analyzing changes occurring in the same geographical area over time. Due to variab…
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…