Special Issue "Deep Learning for Image, Video and Signal Processing"
Deadline for manuscript submissions: 29 February 2024 | Viewed by 1071
Interests: deep learning; computer vision; audio source separation; music information retrieval
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Special Issue in Electronics: Deep Learning Technologies for Machine Vision and Audition
Interests: deep learning; machine learning; manifold learning; image analysis; biomedical signal processing; biomedical image analysis; pattern recognition
Deep learning has been a major revolution in modern information processing. All major application areas have been affected positively by this breakthrough, including image, video and signal processing. Deep learning has rendered traditional approaches that employ man-made features obsolete by allowing neural networks to extract optimized features through learning. Current networks, featuring large networks with millions of parameters, can address many image, video and signal processing problems with top performance. The use of GPUs for training these networks is detrimental. In addition, extensions of traditional learning strategies, such as contrastive, semi-supervised learning and teacher-student models, have addressed the requirement for large amounts of annotated data.
The aim of this Special Issue is to present and highlight the newest trends in deep learning for image, video and signal processing applications. These may include, but are not limited to, the following topics:
- Object detection;
- Semantic/instance segmentation;
- Image fusion;
- Image/video spatial/temporal inpainting;
- Generative image/video processing;
- Image/video classification;
- Document image processing;
- Image/video processing for autonomous driving;
- Audio processing/classification;
- Audio source separation;
- Contrastive/semi-supervised learning;
- Knowledge distillation methods.
Dr. Nikolaos Mitianoudis
Dr. Ilias Theodorakopoulos
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Information is an international peer-reviewed open access monthly 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 1600 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.
- image classification
- semantic/instance segmentation
- semi-supervised learning
- contrastive learning
- generative image/video creation
- audio source separation
- knowledge distillation