Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery

The author proposes a causal prototype-inspired contrast adaptation method to improve unsupervised domain adaptive semantic segmentation in high-resolution remote sensing imagery by exploring invariant causal mechanisms.