Artificial Intelligence: Deep Learning and Computer Vision, 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 154
Special Issue Editors
Interests: computer vision; image analysis; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; representation learning; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer vision algorithms powered by advancements in deep learning, and mainly by the Transformer architecture, have recently provided unprecedented performance improvements for many real-world applications. Moreover, since the inception of the Visual Transformer in 2019, computers have been outperforming human experts in complex vision tasks, for instance, in image classification, localization, and segmentation; anomaly detection; image generation; autonomous navigation; autonomous driving; bio-medical image analysis; weather prediction; remote sensing; and manufacturing quality control.
This Special Issue will present research papers on recent applications of artificial intelligence for computer vision, emphasizing mathematical or computational contributions. Special attention is devoted to the Transformer architecture, but also convolutional and recurrent architectures, possibly combined with traditional image processing techniques.
We welcome submissions of high-quality manuscripts presenting original research results and review articles focused on, but not limited to, the following applications:
- Remote sensing for deep learning-based computer vision.
- Deep learning-based computer vision for control systems.
- Vision-based precision agriculture using deep learning.
- Medical applications of deep learning.
- Deep learning for small data.
- Deep learning on limited hardware.
- Deep learning-based vision-language models.
- Deep learning-based image and video generation.
- Cultural and societal applications of deep learning-based computer vision.
Prof. Dr. Juan Manuel Rendón-Mancha
Prof. Dr. Edgar Roman-Rangel
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- deep learning
- computer vision
- vision transformers
- remote sensing
- control systems
- small data
- constrained hardware
- image generation
- image and video generation
- image processing
- object detection
- transformer architecture
- convolutional neural networks (CNNs)
- recurrent neural networks (RNNs)
- vision-language models (VLMs)
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Related Special Issue
- Artificial Intelligence: Deep Learning and Computer Vision in Mathematics (10 articles)
