In recent years, we have witnessed extensive breakthroughs in the field of autonomous robotics. One key element of a successful robotic system is the exploitation of the visual and auditory information around the system in order to make decisions. Therefore, machine vision and audition is a major task in most robotic systems. Humans, on the other hand, are very adept at handling and processing visual and auditory stimuli to perform series of tasks such as object detection and identification. The key element in these tasks is the human brain—a complicated organ featuring some billions of neurons and some trillions of synapses (connections) between them. In recent years, due to the rise of parallel-processing hardware (i.e., graphical processing units (GPUs)), we have seen the emergence of deep neural network architectures that attempt to emulate the vastness and complexity of the human brain in order to match its performance. This is particularly evident in machine vision and audition applications, where the emergence of deep learning techniques has boosted the performance of traditional shallow neural network architectures.

The aim of this Special Issue is to present and highlight the newest trends in deep learning for machine vision and audition applications. This may include but is not limited to:

•     Deep learning architectures;
•     Deep learning image and audio classification;
•     Deep learning object detection;
•     Deep learning semantic segmentation;
•     Deep learning image enhancement;
•     Deep learning music information retrieval tasks;
•     Deep learning audio-visual source separation;
•     Deep learning audio-visual enhancement;
•     Deep learning for audio-visual scene analysis;
•     Deep learning for audio-visual emotion recognition;
•     Deep learning for audio-visual face analysis.

Assoc. Prof. Nikolaos Mitianoudis
Assoc. Prof. Georgios Tzimiropoulos
Guest Editors

Manuscript Submission Information  https://www.mdpi.com/journal/electronics/special_issues/deep_learning_machine_vision

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Keywords

•     deep learning
•     image enhancement
•     object detection
•     image semantic segmentation
•     source separation
•     music information retrieval
•     audio enhancement
•     scene analysis
•     emotion recognition
•     face analysis

Special Issue Editors
Assoc. Prof. Nikolaos Mitianoudis
Department of Electrical and Computer Engineering, Democritus University of Thrace, 67100 Xanthi, Greece

Assoc. Prof. Georgios Tzimiropoulos
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, United Kingdom