Improved vehicle target detection algorithm based on YOLOx-tiny for lightweight remote sensing images

Author:

Cheng Yuxin1ORCID,Tan Jinlin2ORCID

Affiliation:

1. Huayin Weapons Test Center, China

2. Shaanxi Aerospace Technology Application Research Institute Co.,LTD, China

Publisher

ACM

Reference26 articles.

1. A Review of Vehicle Detection Techniques for Intelligent Vehicles;Zhangu W;J. IEEE Transactions on Neural Networks and Learning Systems,2023

2. Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis

3. Airborne Vehicle Detection in Dense Urban Areas Using HoG Features and Disparity Maps;Sebastian T;J. IEEE Transactions on Intelligent Transportation System,2013

4. M.A. H, S.T. D, E. O, J P and B. S 1998 Support vector machines. J. IEEE Intelligent Systems and their Applications, vol. 6: 2327-2337.

5. Zhanbo L and Shipeng Z 2023 A semi-supervised deep learning method in network intrusion detection. International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023). Nanjing, China. 12718: 92-97.

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