Special Issue "Deep Learning in Object Detection and Tracking"
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 61355
Interests: graph matching; point process; object detection
We are pleased to invite you to submit your work to our journal. 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 an 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 blood into 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 for articles related to object detection or tracking.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not be limited to) the following:
- Object detection and tracking;
- Few-shot/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.
We look forward to receiving your contributions.
Dr. Junchi Yan
Dr. Minghao Guo
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.
- object detection
- object tracking
- computer vision
- deep learning