Object detection, one of the three main tasks of computer vision, has be...
Recently, Multilayer Perceptron (MLP) becomes the hotspot in the field o...
Adder neural network (AdderNet) is a new kind of deep model that replace...
Convolutional neural networks (CNNs) are vulnerable to adversarial examp...
Neural Architecture Search (NAS) has received extensive attention due to...
Neural architecture search (NAS) recently received extensive attention d...
In this paper, we tackle the issue of physical adversarial examples for
...
Budgeted pruning is the problem of pruning under resource constraints. I...
With the fast evolvement of embedded deep-learning computing systems,
ap...
Recently, Deep Learning (DL), especially Convolutional Neural Network (C...
Sparsity helps reduce the computational complexity of deep neural networ...