New Challenges of Face Detection Based on Deep Learning
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (30 May 2024) | Viewed by 5764
Special Issue Editors
Interests: image processing; deep learning; face detection; paintings
Interests: background modeling; face detection; deep learning; graph signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent decades, a lot of attention has been devoted to the successful development of facial recognition, which is often preceded by the classical techniques of face detection. However, face detection has also recently become an important topic, and this is particularly due to the development of new machine learning methods. These recent methods make it possible to tackle new challenges in image processing (face detection in a crowd, face tracking, painting analysis, etc.) with high performance. Thus, the aim of this Special Issue is to collect leading recent advances in face detection using practicable algorithms based on CNNs, GANs, etc.
Dr. André Bigand
Prof. Dr. Thierry Bouwmans
Guest Editors
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Keywords
- deep learning
- face detection
- paintings
- tracking
- explainability
- interpretability
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