Machine Learning in Computer Vision and Image Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 September 2026 | Viewed by 901
Special Issue Editor
Special Issue Information
Dear Colleagues,
The Special Issue "Machine Learning in Computer Vision and Image Processing" delves into the transformative role of machine learning (ML) in advancing the fields of computer vision and image analysis. This Special Issue highlights cutting-edge algorithms, models, and techniques that enhance the ability of machines to interpret, analyze, and understand visual data. Key topics include deep learning architectures like convolutional neural networks (CNNs) and transformers, which have revolutionized tasks such as object detection, image segmentation, and facial recognition. This Special Issue also explores applications in medical imaging, autonomous vehicles, surveillance, and augmented reality, where ML-driven solutions improve accuracy, efficiency, and real-time processing capabilities. Challenges such as data scarcity, model interpretability, and computational efficiency are addressed, alongside emerging trends like self-supervised learning, generative adversarial networks (GANs), and edge AI for on-device processing. By bridging theoretical research and practical applications, this Special Issue aims to showcase how machine learning is pushing the boundaries of what is possible in computer vision and image processing, paving the way for smarter, more adaptive
Dr. Shaobing Gao
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- computer vision
- image processing
- deep learning
- object detection
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