Deep Learning in Object Detection and Tracking (2nd Edition)
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 January 2024) | Viewed by 228
Special Issue Editor
Interests: image and video processing; pattern recognition; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to submit your work to this new Special Issue. Object detection, as one of the most fundamental and challenging problems in computer vision, has received great attention in recent years. Its development in the past two decades can be regarded as the epitome of computer vision history. As one of the fundamental problems of computer vision, object detection forms the basis of many other computer vision tasks, such as instance segmentation, image captioning, object tracking, etc. In recent years, the rapid development of deep learning techniques has brought new opportunities into the field of object detection, leading to remarkable breakthroughs and pushing it forward to a research hotspot with unprecedented attention.
This Special Issue aims to discuss and solve the current key issues and problems related to object detection and tracking. We only accept submissions of articles related to object detection or tracking.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Object detection and tracking;
- Few-shots/zero-shot object detection and tracking;
- Weak/semi/unsupervised object detection and tracking;
- Long-tailed object detection and tracking;
- Small object detection;
- Rotated object detection.
Prof. Dr. Xiaobin Zhu
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. 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 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
- object detection
- object tracking
- computer vision
- deep learning
Related Special Issue
- Deep Learning in Object Detection and Tracking in Applied Sciences (29 articles)
