Deep Learning for Precise and Efficient Object Detection
in Special Issue Posted on March 31, 2020Information for the Special Issue
Submission Deadline: | Thu 31 Dec 2020 |
Journal Impact Factor : | 3.255 |
Journal Name : | Pattern Recognition Letters |
Journal Publisher: |
![]() |
Website for the Special Issue: | https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/deep-learning-for-precise |
Journal & Submission Website: | https://www.journals.elsevier.com/pattern-recognition-letters |
Special Issue Call for Papers:
Aim and Scopes
Object detection is one of the most challenging and important tasks of computer vision and is widely used in applications such as autonomous vehicle, biometrics, video surveillance, and human-machine interactions. In the past five years, significant success has been achieved with the development of deep learning, especially deep convolutional neural networks. Typical categories of advanced object detection methods are one-stage, two-stage, and anchor-free methods. Nevertheless, the performance in accuracy and efficiency is far from satisfying. On the one hand, the average precision of state-of-the-art object detection methods is very low (e.g., merely about 40% on the COCO dataset). The performance is even worse for small and occluded objects. On the another hand, to obtain precision the detection speed is very low. It is challenging to get a satisfying trade-off between the detection precision and speed. Therefore, much efforts have to be engaged to remarkably improve the performance of object detection in both precision and efficiency.
This special issue will publish papers presenting state-of-the-art methods in dealing with the challenging problems of 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 which have not been published before. The topics of interest include, but are not limited to:
- Anchor and Anchor-free object detection
- Detecting small or occluded objects
- Context and attention mechanism for object detection
- Fast object detection algorithms
- New backbone for object detection
- Architecture search for object detection
- 3D object detection
- Object detection in challenging conditions
- Handling scale problems in object detection
- Improving localization accuracy
- Fusion of point cloud and images for object detection
- Relationship between object detection and other computer vision tasks.
- Large-scale datasets for object detection
Important Dates
Submission period: Dec. 1-31, 2020
First notification to authors: Mar. 1, 2021
Submission of revised papers: Apr. 15, 2021
Final notification to authors: June 15, 2021
Online publication: Jul. 1, 2021
Submission of Manuscripts
Prospective authors should write manuscripts according to the Guide for Authors of Pattern Recognition Letters available at the website https://ees.elsevier.com/prletters/. Please use article type name by: VSI:DL4PEOD.
Guest Editors
Dr. Yanwei Pang, Tianjin University, China, pyw@tju.edu.cn, MGE
Dr. Jungong Han, Warwick University, U.K., jungong.han@warwick.ac.uk
Dr. Xin Lu, Adobe Inc., U.S.A., xinl@adobe.com
Dr. Nicola Conci, University of Trento, Italy, nicola.conci@unitn.it
Other Special Issues on this journal
![]() |
|
REAL-TIME COMPUTER VISION FOR ACCIDENT PREVENTION AND DETECTION (RT-APRED)Pattern Recognition Letters |
Thu 20 May 2021 |
![]() |
|
UNSUPERVISED PATTERN LEARNING, ANALYTICS & PREDICTION OF COVID-19 GLOBAL PANDEMIC (PR-COVID)Pattern Recognition Letters |
Sun 20 Jun 2021 |
![]() |
|
Multi-view Representation Learning and Multi-modal Information RepresentationPattern Recognition Letters |
Sun 01 Aug 2021 |
![]() |
|
Application of Pattern Recognition in Digital world: Security, Privacy and Reliability (APRDW)Pattern Recognition Letters |
Thu 30 Sep 2021 |
![]() |
|
Mobile and Wearable Biometrics (VSI:MWB)Pattern Recognition Letters |
Sun 19 Dec 2021 |
![]() |
|
Few-shot Learning for Human-machine Interactions (FSL-HMI)Pattern Recognition Letters |
Mon 20 Dec 2021 |
![]() |
|
Computational Linguistics Processing in Indigenous Language (CLPIL)Pattern Recognition Letters |
Sun 30 Jan 2022 |
![]() |
|
Self-Learning Systems and Pattern Recognition and Exploitation (SeLSPRE)Pattern Recognition Letters |
Mon 31 Jan 2022 |
Closed Special Issues
![]() |
|
Biometric Presentation Attacks: handcrafted features versus deep learning approaches (BioPAth)Pattern Recognition Letters |
Tue 12 Jan 2021 |
![]() |
|
Pattern Recognition-driven User Experiences (PRUE)Pattern Recognition Letters |
Sun 10 Jan 2021 |
![]() |
|
Implicit BIOmetric Authentication and Monitoring through Internet of ThingsPattern Recognition Letters |
Wed 30 Sep 2020 |
![]() |
|
Advances in Human Action, Activity and Gesture Recognition (AHAAGR)Pattern Recognition Letters |
Wed 30 Sep 2020 |
![]() |
|
Advances in Digital Security: Biometrics and ForensicsPattern Recognition Letters |
Wed 30 Sep 2020 |
![]() |
|
Call for paper: Virtual Special Issue “Biometrics in Smart Cities: Techniques and Applications (BI_SCI)”Pattern Recognition Letters |
Fri 31 Jul 2020 |
![]() |
|
Capsule Networks for Biomedical Pattern Analysis (CNBPA)Pattern Recognition Letters |
Fri 31 Jul 2020 |
![]() |
|
Advances in Human Action, Activity and Gesture Recognition (AHAAGR)Pattern Recognition Letters |
Thu 30 Jul 2020 |
![]() |
|
Digital Anastylosis of Frescoes challeNgE (DAFNE)Pattern Recognition Letters |
Sat 20 Jun 2020 |
![]() |
|
Digital Anastylosis of Frescoes challeNgE (DAFNE)Pattern Recognition Letters |
Sat 20 Jun 2020 |
![]() |
|
Cross-Media Learning for Visual Question Answering (VQA)Pattern Recognition Letters |
Fri 05 Jun 2020 |
![]() |
|
Deep Learning Based Approaches in Signal Processing and IoT: A Pathway to Intelligent Systems (DLIOT)Pattern Recognition Letters |
Thu 30 Apr 2020 |
![]() |
|
Novel Data-Representation and Classification TechniquesPattern Recognition Letters |
Tue 31 Mar 2020 |
![]() |
|
Artificial Intelligence for Distributed Smart SensingPattern Recognition Letters |
Mon 30 Mar 2020 |
![]() |
|
Deep Multi-source Data Analysis (DMDA)Pattern Recognition Letters |
Fri 31 Jan 2020 |
![]() |
|
Virtual “Recent Advances in Statistical, Structural and Syntactic Pattern Recognition”Pattern Recognition Letters |
Fri 31 Jan 2020 |
![]() |
|
Pattern Recognition and Artificial Intelligence Techniques for Cultural Heritage special issuePattern Recognition Letters |
Wed 25 Sep 2019 |
![]() |
|
Deep Learning for Medical Imaging and Health InformaticsPattern Recognition Letters |
Fri 20 Sep 2019 |
![]() |
|
Topological Image Analysis and Recognition (TIAR)Pattern Recognition Letters |
Tue 30 Jul 2019 |
![]() |
|
Virtual “Pattern Recognition and Cognitive Assistants (PRCA)” at Pattern Recognition Letters JournalPattern Recognition Letters |
Fri 05 Jul 2019 |
![]() |
|
Virtual Smart Pattern Recognition for Medical Informatics (ACRONYM: SPRMI )Pattern Recognition Letters |
Fri 31 May 2019 |
![]() |
|
Intelligent Industrial Digital Forensics and Biocybernetics: Practices and ChallengesPattern Recognition Letters |
Sun 31 Mar 2019 |
![]() |
|
“DLVA: Advances in Deep Learning and Visual Analytics for Intelligent Surveillance Systems”Pattern Recognition Letters |
Sun 30 Sep 2018 |
![]() |
|
Virtual Pattern Recognition Techniques for Non Verbal Human Behavior (NVHB)Pattern Recognition Letters |
Tue 31 Jul 2018 |
![]() |
|
Learning and Recognition for Assistive Computer VisionPattern Recognition Letters |
Fri 15 Jun 2018 |
![]() |
|
Multiple-task Learning for Big Data (ML4BD)Pattern Recognition Letters |
Sat 31 Mar 2018 |
![]() |
|
Learning Compact Representations for Scalable Visual Recognition and RetrievalPattern Recognition Letters |
Wed 31 Jan 2018 |
![]() |
|
Graphonomics for e-citizens: e-health, e-society, e-educationPattern Recognition Letters |
Thu 25 Jan 2018 |
![]() |
|
Robustness, Security and Regulation Aspects in Current Biometric Systems (RSRA-BS)Pattern Recognition Letters |
Sat 30 Sep 2017 |
![]() |
|
Pattern Discovery from Multi-Source Data (PDMSD)Pattern Recognition Letters |
Wed 31 May 2017 |
![]() |
|
Multimodal Fusion for Pattern Recognition (MFPR)Pattern Recognition Letters |
Tue 16 May 2017 |
![]() |
|
Deep Learning for Pattern Recognition (DLPR)Pattern Recognition Letters |
Wed 15 Mar 2017 |
![]() |
|
Machine Learning and Applications in Artificial IntelligencePattern Recognition Letters |
Tue 31 Jan 2017 |
![]() |
|
Intelligent Pattern Recognition Applications for Computer Vision and Biomedical Signal ProcessingPattern Recognition Letters |
Tue 01 Nov 2016 |
![]() |
|
Integrating Biometrics and ForensicsPattern Recognition Letters |
Tue 01 Nov 2016 |
![]() |
|
Personalised and Context-sensitive Interfaces in the WildPattern Recognition Letters |
Sun 30 Oct 2016 |
![]() |
|
User Profiling and Behavior Adaptation for Human-Robot InteractionPattern Recognition Letters |
Fri 30 Sep 2016 |
![]() |
|
Pattern Recognition Techniques on Data MiningPattern Recognition Letters |
Fri 15 Apr 2016 |
![]() |
|
Advances in Graph-based Pattern RecognitionPattern Recognition Letters |
Sun 15 Nov 2015 |