Abstract: In the context of incremental class learning, deep neural networks are prone to catastrophic forgetting, where the accuracy of old classes declines substantially as new knowledge is learned.

Abstract: Class-incremental learning based on convolutional neural networks for synthetic aperture radar (SAR) targets has garnered wide attention recently. Unlike incremental SAR target ...