We wish to invite you to submit a paper for Sensors SI on "Perceptual Deep Learning in Image Processing and Computer Vision" edited by Chih-Hsien Hsia, Dr. Loris Nanni, Jing-Ming Guo. The flyer is attached.
Here is a synopsis:
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.