A significant threat to agriculture yield is crop disease. It leads to enormous losses for
farmers and also has an impact economically. Leaves affected by certain diseases will …

Detection of the Fusarium head blight (FHB) is crucial for wheat yield protection, with precise
and rapid FHB detection increasing wheat yield and protecting the agricultural ecological …

This paper proposes an Information Bottleneck theory based filter pruning method that uses
a statistical measure called Mutual Information (MI). The MI between filters and class labels …

High demand for computational power significantly limits the possibility of using modern
deep learning methods in the environments where one has to deal with devices limited by …

The depth and width of CNNs have increased over the years so as to learn a better
representation of the input–output map** of a dataset. However, a significant amount of …

As the deep learning models have been widely used in recent years, there is a high demand
for reducing the model size in terms of memory and computation without much compromise …

Neural network filter pruning has demonstrated its effectiveness for deploying the models
with fewer resources and efficient inference. However, the process of pruning networks in …

The success of the convolutional neural network (CNN) comes with a tremendous growth of
diverse CNN structures, making it hard to deploy on limited-resource platforms. These over …

In this work, we study network binarization (ie, binary neural networks, BNNs), which is one
of the most promising techniques in network compression for convolutional neural networks …

Deep neural networks excel at image identification and computer vision applications such
as visual product search, facial recognition, medical image analysis, object detection …