Siamese networks have achieved great success in visual tracking with the advantages of speed and accuracy. However, how to track an object precisely robustly still remains challenging. One reason is that multiple types features are required achieve good precision robustness, which unattainable by a single training phase. Moreover, usually struggle online adaption problem. In this paper, we pres...

We propose two-dimensional representations for the efficient frontier two different Network DEA (NDEA) models. Both follow a previous study that developed generalization of representation method classic using new form linearization. The graphical allows managers and decision-makers unfamiliar with linear programming to understand results obtained simply clearly. In this study, we can obtain gra...

Hazy images often have color distortion, blur and other visible visual quality degradation, affecting the performance of some advanced tasks. Therefore, single image dehazing has always been a challenging significant problem. Convolutional neural network widely used in task, but limitations convolutional operation limit development task. Nowadays, Transformer offers holistic approach to CV does...

As cryptocurrency is widely accepted and used, attendant illegal activities have attracted extensive attention, especially phishing scams, which bring great losses to both customers countries. From the perspective of crime prevention, early warning such behaviors significance. However, most existing studies focus on detecting scams that already occurred been reported. In addition, previous igno...