Target Detection System Design and FPGA Implementation Based on YOLO v2 Algorithm-Reference-Cited by-同舟云学术

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Target Detection System Design and FPGA Implementation Based on YOLO v2 Algorithm

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC)
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Author:

Bi Fanghong,Yang Jun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8931129/8935643/08935783.pdf?arnumber=8935783

Cited by 22 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. A Multi-Scale-Enhanced YOLO-V5 Model for Detecting Small Objects in Remote Sensing Image Information;Sensors;2024-07-04

2. Enhancing Home Exercise Experiences with Video Motion-Tracking for Automatic Display Height Adjustment;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. An Approach to Large-Scale Cement Plant Detection Using Multisource Remote Sensing Imagery;Remote Sensing;2024-02-19

4. Asphalt Pavement Damage Detection through Deep Learning Technique and Cost-Effective Equipment: A Case Study in Urban Roads Crossed by Tramway Lines;Infrastructures;2024-02-16

5. Deep Convolutional Neural Network for Enhancing Traffic Sign Recognition Developed on Yolo V5;2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC);2024-01-27

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