AKAN-FSL: Adversarial Kolmogorov–Arnold Network for Cross-Domain Few-Shot Hyperspectral Image Change Detection
Few-shot learning (FSL) provides a promising solution for reducing annotation cost in hyperspectral image change detection (HSI-CD). However, most existing FSL approaches focus on single-modality or homogeneous domains, limiting their ability to handle domain shift. Moreover, many feature extractors rely on fixed kerne...