Deep learning-based synthetic aperture radar (SAR) target recognition often suffers from sparsely distributed training samples and rapid angular variations due to scattering scintillation. Thus, data-driven SAR is considered a typical few-shot learning (FSL) task. This article first reviews the key issues of FSL provides definition A novel adversarial autoencoder (AAE) then proposed as an repre...