SpecMamba decouples stable semantic features from agile spectral adaptation via DCT-Mamba adapters, prior-guided tri-encoders, and self-supervised test-time mapping to improve few-shot hyperspectral target detection.
A signature- constrained two-stage framework for hyperspectral target detection based on generative self-supervised learning,
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Physics-Aligned Spectral Mamba: Decoupling Semantics and Dynamics for Few-Shot Hyperspectral Target Detection
SpecMamba decouples stable semantic features from agile spectral adaptation via DCT-Mamba adapters, prior-guided tri-encoders, and self-supervised test-time mapping to improve few-shot hyperspectral target detection.