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Yi-Yan Zhang

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2026

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...

Hong-Min Gao, Shu-Yu Fei, Shu-Fang Xu et al. · 0 citations
Jul 2026

Seed-to-Semantics: Few-Shot Prototype-Guided Progressive Learning for Hyperspectral and LiDAR Classification

Deep learning-based fusion of hyperspectral images (HSI) and LiDAR has achieved strong performance in multimodal remote sensing classification, but its success is heavily constrained by the high cost of pixel-wise annotation. In extremely label-scarce regimes, such as 2-5 labeled samples per class, conventional deep mo...

Yiyan Zhang, Hongmin Gao, Weiping Ding et al. · 0 citations

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