… learn the similarities between humans and machine vision systems. We will look at how
vision systems have two main components: a sensing device and an interpreting device. Each is …

… employ that deep learning architecture. For these reasons, our review article discusses the
most recent challenges of deep vision systems in terms of deep learning architectures and …

… an overview of how deep learning has been implemented in computer vision systems used
in … with computer vision systems and the respective deep learning algorithms implemented in …

… learning known as deep learning have catalyzed impressive gains in machine vision—giving
a sense that the problem of vision is … overview of recent deep learning developments and to …

… commercial products have begun exploring ISP specialization for vision systems. For example,
Arm Mali-C71 [16] is an ISP designed specifically for use in ADAS systems. Liu et al. [20] …

… Additionally, professionals who want to explore the advances in concepts and implementation
of deep learning algorithms applied to computer vision may find in this book an excellent …

… Deep Learning. For example, combining traditional computer vision techniques with Deep
Learning … such as Panoramic Vision and 3D vision for which Deep Learning models have not …

… system for the steadily increasing number of deeplearning … classification system to guide
researchers studying deep-learning … in deep domain adaptation, a more rigorous classification …

… vision system. However, no works have thoroughly explored or studied the application of
machine vision … DL algorithms for aquacultural machine vision systems. The paper is organized …

… In this section, we describe our proposed deep learning system for heterogeneous network
traffic control. Our proposed deep learning system operates in three steps, ie initial phase, …