Perceptual Deep Learning in Image Processing and Computer Vision

in Special Issue   Posted on December 18, 2020 

Information for the Special Issue

Submission Deadline: Sun 28 Feb 2021
Journal Impact Factor : 3.275
Journal Name : Sensors
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Special Issue Information

Dear Colleagues,

AI has garnered significant interest among academic researchers and industrial practitioners for its recent technological breakthrough in the form of deep learning architectures. Consequently, research directions of image processing and computer vision are shifting from statistical methods to deep learning neural network algorithms. The goal of this Special Issue is to invite frontier research that tackles important and challenging issues in deep learning for image processing, computer vision and perceptual understanding. Both theoretical studies and practical applications are welcome for submission. Topics for this Special Issue include but are not restricted to the following fields:

Deep learning algorithms:
Image/video understanding and recognition;
Biometrics and spoof detection;
Object detection and real-time tracking;
Human perceptual cognition and preference;

Deep learning architectural implementations:
AI computing and hardware design;
Self-adapting software engineering;

Deep learning applications:
Medical imaging and healthcare;
Environmental and earth science;
Autonomous manufacturing and smart factory;
Smart city;
Audio classification;
Computational ecology.

Prof. Dr. Chih-Hsien Hsia
Prof. Dr. Loris Nanni
Prof. Dr. Jing-Ming Guo
Guest Editors

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