Special Issue "Advances in Computer Vision and Semantic Segmentation"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 10 July 2023 | Viewed by 18

Special Issue Editors

Dr. Gary KL Tam
E-Mail Website
Guest Editor
Department of Computer Science, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK
Interests: visual analytics; machine learning; digital geometry processing; pattern recognition and vision; multi-dimensional data analysis; information retrieval and indexing
Special Issues, Collections and Topics in MDPI journals
Dr. Frederick W. B. Li
E-Mail Website
Guest Editor
Department of Computer Science, Durham University, Durham DH1 3LE, UK
Interests: computer graphics; geometric modelling and processing; collaborative virtual environments; visual aesthetics; educational techno
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xianghua Xie
E-Mail Website
Guest Editor
Department of Computer Science, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK
Interests: computer vision; image processing; machine learning; medical image analysis
Dr. Avishek Siris
E-Mail Website
Guest Editor
Department of Computer Science, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK
Interests: saliency; object detection; visual attention
Dr. Jianbo Jiao
E-Mail Website
Guest Editor
School of Computer Science, University of Birmingham, Edgbaston Birmingham B15 2TT, UK
Interests: computer vision; machine learning; medical imaging

Special Issue Information

Dear Colleagues,

Semantic segmentation is a core problem for many applications, such as image manipulation, facial segmentation, healthcare, security and surveillance, medical imaging and diagnosis, aerial and satellite image surveying and processing, city 3D modelling, and scene understanding. It is also an important building block in more complex systems, including autonomous cars, drones, and human-centric robots.

The recent advances in deep learning techniques (e.g., CNN, FCN, UNet, Graph LSTM, Spatial pyramid, Attentional modelling, Transformer) have fostered many great improvements in semantic segmentation, not only improving speed and accuracy but also inspiring areas, such as instance and panoptic segmentation.

This Special Issue welcomes research works in semantic segmentation (and its broader areas, including instance and panoptic segmentation) and advanced computer vision applications relating to semantic segmentation. It covers possible research and application areas, including multimodal segmentation (e.g., referring image segmentation), salient object detection and segmentation, 3D (point cloud, meshes) semantic segmentation, video semantic segmentation, and many others. Papers focusing on new data (e.g., hyper-spectral data, MRI CT, point cloud, meshes) and new deep architectures, techniques, and learning strategies (e.g., weakly supervised/unsupervised semantic segmentation, zero/few-shot learning, domain adaptation, real-time processing, contextual information, transfer learning, reinforcement learning, and the critical issue of acquiring training data) are all welcome.

Dr. Gary KL Tam
Dr. Frederick W. B. Li
Prof. Dr. Xianghua Xie
Dr. Avishek Siris
Dr. Jianbo Jiao
Guest Editors

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. Applied Sciences 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 2300 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

  • semantic segmentation
  • instance segmentation
  • panoptic segmentation
  • multimodal segmentation
  • referring image segmentation
  • salient object detection and segmentation
  • 3D semantic segmentation
  • Video semantic segmentation
  • weakly supervised semantic segmentation
  • unsupervised semantic segmentation
  • advanced machine searning segmentation techniques
  • medical semantic segmentation

Published Papers

This special issue is now open for submission.
Back to TopTop