MADPL-net: Multi-layer attention dictionary pair learning network for image classification

Yulin Sun, Guangming Shi, Weisheng Dong, Xuemei Xie

Abstract: Highlights•A powerful architecture, called the multi-layer attention dictionary pair learning network (MADPL-net), is proposed for image classification.•The MADPL-net integrates convolutional neural network, deep encoder learning, and attention dictionary pair learning into a unified framework.•The MADPL-net applies the attentional dictionary learning block to select more image-attentive atoms via the soft-max function.•The MADPL-net adds the l1−norm constraint of analysis dictionary to the crossentropy loss function.•The MADPL-net can ensure discriminative dictionary atoms and feature maps with high inter-class separation and high intra-class compactness.