AI RESEARCH
LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift
arXiv CS.CV
•
ArXi:2605.18541v1 Announce Type: new Modeling hyperspectral imagery (HSI) across different sensors presents a fundamental challenge due to variations in wavelength coverage, band sampling, and channel dimensionality. As a result, models trained under a fixed spectral configuration often fail to generalize to other sensors.