2 papers
cs.CV2025
SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective
Ziyu Zhou, Keyan Hu, Yutian Fang +1
Change detection is a key task in Earth observation applications. Recently, deep learning methods have demonstrated strong performance and widespread application. However, change d…
cs.LG2024
Empowering Graph Invariance Learning with Deep Spurious Infomax
Tianjun Yao, Yongqiang Chen, Zhenhao Chen +3
Recently, there has been a surge of interest in developing graph neural networks that utilize the invariance principle on graphs to generalize the out-of-distribution (OOD) data. D…