Abstract: Hyperspectral unmixing (HU) is a fundamental task in hyperspectral image analysis, aiming to decompose mixed pixels into endmember spectra and their corresponding fractional abundances. With ...
Abstract: Lying at the intersection of self-supervised learning (SSL) and knowledge distillation (KD), Self-supervised KD (SSKD) differs from classical KD frameworks by assuming the teacher model is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results