Vehicle object detection method based on candidate region aggregation-Reference-Cited by-同舟云学术

Vehicle object detection method based on candidate region aggregation

Published:2021-07-24 Issue:4 Volume:24 Page:1635-1647
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Zhang Luyang,Wang Haitao^ORCID,Wang Xinyao,Liu Qiang,Wang Huaibin,Wang Hailong

Funder

Nondestructive Detection and Monitoring Technology for High Speed Transportation Facilities, Key Laboratory of Ministry of Industry and Information Technology

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s10044-021-01009-4.pdf

Reference41 articles.

1. Tian Y, Du Y, Zhang Q, et al. (2020) Depth estimation for advancing intelligent transport systems based on self-improving pyramid stereo network. Inst Eng Technol 14(5):338–345. https://doi.org/10.1049/iet-its.2019.0462

2. Liu W, Liao S, Hu W (2019) Towards accurate tiny vehicle detection in complex scenes. Neurocomputing 347:24–33

3. Girshick R, Donahue J, DaT Tell T, Malik J. Rich feature hierarchies for accurate object detection and Semantic segmentation //Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, OH, USA: IEEE: 580–587[DOI:10.1109/ CVPR.2014.81]

4. Girshick R, landola F, Darrell T, Malik J. Deformahle part models are convolutional neural networks// Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. Boston, MA, USA: IEEE: 437–446 [DOI: 10. 1109/ CVPR.2015.7298641]

5. Ren S, He K, Girshick R et al (2015) Faster R-CNN: towards real-time object detection with region proposal networks//. Adv Neural Inf Process Syst, IEEE. https://doi.org/10.1109/TPAMI.2016.2577031

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Military Vehicle Object Detection Based on Feature Representation and Refined Localization Using Inception Recurrent Convolutional Neural Network;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

2. Gender Identification of Chinese Mitten Crab Juveniles Based on Improved Faster R-CNN;Applied Sciences;2024-01-21

3. SAFPN: a full semantic feature pyramid network for object detection;Pattern Analysis and Applications;2023-09-28

4. A Deep Recurrent Learning-Based Region-Focused Feature Detection for Enhanced Target Detection in Multi-Object Media;Sensors;2023-08-31

5. Research on water meter reading recognition based on deep learning;Scientific Reports;2022-07-27