Deep Learning for Computer Vision, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 31 July 2025

Special Issue Editor


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Guest Editor
College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255049, China
Interests: computer vision; machine learning; intelligent optimization control
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Special Issue Information

Dear Colleagues,

This Special Issue aims to cover a wide range of deep learning applications within the computer vision domain, including image processing, pattern recognition, machine learning, and artificial intelligence techniques applied to visual data analysis. It highlights innovative methodologies and algorithms for tasks such as image classification, object detection and tracking, semantic segmentation, scene understanding, and more. Additionally, we invite contributions that explore the integration of computer vision with emerging technologies like augmented reality, virtual reality, and robotics, as well as applications in diverse sectors such as healthcare, transportation, surveillance, entertainment, and manufacturing. By offering a platform for cutting-edge research and practical applications, this Special Issue seeks to promote knowledge sharing, encourage interdisciplinary collaborations, and drive advancements in computer vision technologies to effectively address real-world challenges.

Dr. Mingliang Gao
Guest Editor

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. Electronics 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 2400 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

  • deep learning
  • object detection
  • image generation
  • super resolution
  • deep learning theory
  • attention network
  • image enhancement
  • artificial intelligence

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