Simple Summary The identification of individual animals is an important step in the history of
precision breeding. It has a great role in both breeding and genetic management. The …

Efficient numerical linear algebra is a core ingredient in many applications across almost all
scientific and industrial disciplines. With this survey we want to illustrate that numerical linear …

This paper comprehensively reviews hardware acceleration techniques and the deployment
of convolutional neural networks (CNNs) for analyzing electroencephalogram (EEG) signals …

Domain adaptation is an effective approach to improve the generalization ability of deep
learning methods, which makes a deep model more stable and robust. However, these …

The task of logo detection is desirable and important for various fields. However, it is
challenging and difficult to identify logos in complex scenarios as a logo can appear in …

Modern convolutional neural networks (CNNs) play a crucial role in computer vision
applications. The intricacy of the application scenarios and the growing dataset both …

In recent years, deep learning models have been used successfully in almost every field
including both industry and academia, especially for computer vision tasks. However, these …

With the thriving of deep learning, 3D convolutional neural networks have become a popular
choice in volumetric image analysis due to their impressive 3D context mining ability …

Very deep convolutional neural networks (CNNs) have been firmly established as the
primary methods for many computer vision tasks. However, most state-of-the-art CNNs are …

Deep learning has achieved great successes in performing many visual recognition tasks,
including object detection. Nevertheless, existing deep networks are computationally …