State of the Art in Deep Learning Techniques on Computer Vision
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 404
Special Issue Editor
Interests: advanced computer architecture; artificial intelligence; high performance computing; edge computing; embedded systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in deep learning led us to new research directions in the field of classification, detection, segmentation, semantics recognition and data generation. Research areas are various from practical applications such as autonomous driving, robotics, computer vision in agriculture, medical image analysis, speech recognition, natural language processing and many more application areas that will benefit from improvement in performances of classification and segmentation algorithms based on deep learning.
The aim of this special issue is to gather state of the art research to provide practitioners with broad overview of suitable deep neural network architectures and applications areas with objective performance metrices. We welcome well structured manuscripts with nicely illustrated background and novelty. We also recommend to authors to make the source code, databases, models and architectures publicly available, and to submit multimedia within each manuscript because that significantly increases the visibility and citations of publications.
We are pleased to invite you to submit original research work covering innovative methods and meaningful applications that can potentially lead to significant advances in the field.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:
- Deep learning (DL) architectures;
- Medical image analyses based on DL;
- Generative adversarial networks;
- Semantic extraction and annotation of data;
- Semantic segmentation;
- AI methodologies for medical data analysis;
- Natural language processing;
Prof. Dr. Sven Gotovac
Guest Editor
Manuscript Submission Information
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Keywords
- deep neural network
- architectures
- medical image
- NLP
- AI methodologies
