Abstract: Intelligent in-vehicle networks (IVNs) are increasingly exposed to complex security threats. Traditional supervised deep learning methods depend heavily on extensive labeled datasets, ...
Abstract: Recently, few-shot learning (FSL) has been introduced for hyperspectral image (HSI) classification with few labeled samples. However, existing FSL-based HSI classification methods mainly ...