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Found 2 papers, 1 papers with code
Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection
Popular Transformer networks have been successfully applied to remote sensing (RS) image change detection (CD) identifications and achieve better results than most convolutional neural networks (CNNs), but they still suffer from two main problems.
Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images
First, the existing multiscale feature fusion methods often use redundant feature extraction and fusion strategies, which often lead to high computational costs and memory usage.
Ranked #2 on
Change Detection
on DSIFN-CD
Building change detection for remote sensing images
Change Detection
+1
