Object Detection: Algorithms, Computations and Practices, 2nd Edition

Dear Colleagues,

We are pleased to invite you to submit your work to our Special Issue. Object detection is the application of computer vision, pattern recognition, image processing, and other technologies in order to detect instances of objects of a certain class within an image. Its application scenarios cover important areas such as intelligent security, traffic surveillance, scene understanding, and autonomous driving. In recent years, the rapid development of deep learning techniques has brought tremendous advances in the field of object detection. However, there are still some practical problems that have not yet been solved, such as the occlusion of objects in pedestrian detection; scene text detection and recognition; few-shot object detection; tiny object detection; interpretable learning; face detection and recognition in complex real scenes; model drift and re-detection problems in object tracking; etc. Therefore, much effort is required to significantly improve the performance of object detection.

This Special Issue aims to discuss and solve the challenging problems related to object detection within the framework of deep learning. We invite authors to submit manuscripts that are highly related to the topics of this Special Issue and have not been published before. The topics of interest include, but are not limited to, the following:

• Anchor and anchor-free object detection;
• Few-shot/zero-shot object detection;
• Weak/semi/unsupervised object detection;
• Long-tailed object detection;
• Small object detection;
• 3D object detection;
• Object detection in challenging conditions;
• Fusion of point cloud and images for object detection;
• Large-scale datasets for object detection.

This Special Issue is a continuation of the previous Special Issue “Object Detection: Algorithms, Computations and Practices”, which was successful and included various excellent papers.  We hope that this new Special Issue will attract the attention of more scholars who wish to publish their interesting insights.

We look forward to your submissions.

Dr. Siyu Xia
Dr. Libo Sun
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. Mathematics 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 2600 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.

• anchor and anchor-free object detection
• few-shot/zero-shot object detection
• weak/semi/unsupervised object detection
• long-tailed object detection
• small object detection
• 3D object detection
• object detection in challenging conditions
• fusion of point cloud and images for object detection
• large-scale datasets for object detection