Perceptual Deep Learning in Image Processing and Computer Vision
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 52629
Special Issue Editors
Interests: DSP IC design; computer vision; image processing; cognitive learning
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning (ensembles of deep learners, transfer learning); computer vision (general-purpose image classifiers, medical image classification, texture descriptors); biometrics systems (fingerprint classification and recognition, signature verification, face recognition)
Special Issues, Collections and Topics in MDPI journals
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
Manuscript Submission Information
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Keywords
- deep learning algorithms
- deep learning architectural implementations
- deep learning applications
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