A YOLO Benchmarking Experiment For Maritime Object Detection In Foggy Environments-Reference-Cited by-同舟云学术

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A YOLO Benchmarking Experiment For Maritime Object Detection In Foggy Environments

Published:2024-05-24 Issue: Volume:11543 Page:354-359
ISSN:
Container-title:2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
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Author:

Yang Defu¹,Solihin Mahmud Iwan¹,Zhao Yawen¹,Cai Bingyu²,Chen Chaoran¹,Riyadi Slamet³

Affiliation:

1. Technology and Built Environment UCSI University,Faculty of Engineering,Kuala Lumpur,Malaysia

2. School of Advanced Manufacturing, Shantou Polytechnic,Shantou,China

3. Universitas Muhammadiyah Yogyakarta,Department of Information Technology,Yogyakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10576198/10576206/10576412.pdf?arnumber=10576412

Reference29 articles.

1. Multi-Scale Object Detection Model for Autonomous Ship Navigation in Maritime Environment

2. A comprehensive analysis of modern object detection methods for maritime vessel detection;Spraul,2020

3. An Enhanced Target Detection Algorithm for Maritime Search and Rescue Based on Aerial Images

4. A review of intelligent ship marine object detection based on RGB camera

5. Probabilistic Ship Detection and Classification Using Deep Learning

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