A Novel Supervised Contrastive Learning Framework for Robust Synthetic Aperture Radar Image Classification

FACTUAL, a novel Supervised Contrastive Learning (SCL) based framework, improves the robustness of SAR image classification models by utilizing class-label information and incorporating realistic physical adversarial attacks during pre-training.