CNNs and applications in 2D computer vision - Softcover

Gao, Mingliang

 
9786139865116: CNNs and applications in 2D computer vision

Inhaltsangabe

Driven by GPUs, massive amounts of annotated data and more advanced algorithms, deep neural networks have evolved remarkably over the past few years and they are currently the fundamental tools of many intelligent systems. Among different types of deep neural networks, convolutional neural networks (CNNs) have been most extensively studied. CNNs have recently taken the computer vision community by storm and benefited real-world applications. This monograph presents the CNNs from the aspect of architectures, improvements and applications in 2D computer vision.

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Über die Autorin bzw. den Autor

Ming-Liang Gao received his Ph.D in communication and information systems from Sichuan University, Chengdu, China, in 2013. He is currently an associate professor in Shandong University of Technology, Zibo, China. His main research interests include meta-heuristic optimization, analysis of crowd motion, visual tracking and deep learning.

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