Recently, morphing attack detection (MAD) solutions have achieved remarkable success with the aid of deep learning techniques. Despite the good performance achieved by binary label or binary ...

Convolutional neural network (CNN) training is computationally intensive, requiring a great deal of time and resources. Exploiting data sparsity is a promising method to ac-celerate CNN training. In ...