Ship Detection with Optical Image Based on CA-YOLO v3 Network-Reference-Cited by-同舟云学术

Ship Detection with Optical Image Based on CA-YOLO v3 Network

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)
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Author:

Li Danmeng¹,Zhang Zhuo²,Fang Zhengwei³,Cao Fuxiao⁴

Affiliation:

1. Dalian Maritime University,School of Information Science and Technology,Yantai,China

2. Dalian Maritime University,School of Information Science and Technology,Datong,China

3. Dalian Maritime University,School of Information Science and Technology,Tongling,China

4. Dalian Maritime University,School of Information Science and Technology,Dandong,China

Publisher

IEEE

Link

Reference25 articles.

1. A review of ship target detection methods based on remote sensing images;Wan;Telecommunications Technology,2020

2. Research on ship detection and tracking method based on deep learning;Li,2021

3. Research on ship detection and classification method based on feature fusion;Liu,2019

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3. Vehicle Target Detection Based on Improved YOLOv3 Algorithm in Urban Transportation;2024 3rd International Conference on Big Data, Information and Computer Network (BDICN);2024-01-12