A Smoke and Flame Detection Method Using an Improved YOLOv5 Algorithm-Reference-Cited by-同舟云学术

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A Smoke and Flame Detection Method Using an Improved YOLOv5 Algorithm

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)
language:
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Author:

Yang Tong¹,Xu Sheng¹,Li Weimin¹,Wang Haibin¹,Shen Guodong¹,Wang Qiang¹

Affiliation:

1. Shandong Institute of Advanced Technology, Chinese Academy of Sciences,Jinan,China,250102

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872150/9872152/09872297.pdf?arnumber=9872297

Reference20 articles.

1. A Deep Learning Based Forest Fire Detection Approach Using UAV and YOLOv3

2. SSD: Single Shot MultiBox Detector

3. YOLO9000: Better, Faster, Stronger

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. Research and Implementation of Forest Fire Detection Algorithm Improvement;International Journal of Advanced Network, Monitoring and Controls;2023-12-01

2. Small target flame detection algorithm based on improved YOLOv7;Journal of Electronic Imaging;2023-10-13

3. An Improved Real-Time Detection Method for Flame and Smoke Identification Based on YOLOv5;2023 6th International Conference on Intelligent Autonomous Systems (ICoIAS);2023-09-22

4. A Flame Detection Algorithm Based on Improved YOLOv7;Applied Sciences;2023-08-14

5. A real-time fire detection method from video for electric vehicle-charging stations based on improved YOLOX-tiny;Journal of Real-Time Image Processing;2023-04-28

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