Vehicle Detection in UAV Aerial Images Based on Improved YOLOv3-Reference-Cited by-同舟云学术

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Vehicle Detection in UAV Aerial Images Based on Improved YOLOv3

Published:2020-10-30 Issue: Volume: Page:
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Container-title:2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)
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Author:

Zhang Shengli,Chai Lin,Jin Lizuo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9238048/9238049/09238059.pdf?arnumber=9238059

Cited by 7 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. Improved target detection algorithm based on YOLOv5s;Proceedings of the 2024 6th International Conference on Control and Computer Vision;2024-06-13

2. DBS-YOLO: A vehicle detection model based on improved YOLOv8 for UAV aerial scenes;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

3. The Research on Traffic Flow Statistics Based on YOLOv5 and Attention Mechanism;Proceedings of the 2023 8th International Conference on Intelligent Information Processing;2023-11-21

4. PairingNet: A Multi-Frame Based Vehicle Trajectory Prediction Deep Learning Network;IEEE Access;2023

5. Vehicle detection method based on adaptive multi-scale feature fusion network;Journal of Electronic Imaging;2022-07-12

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