A two-stage approach for ship detection in restricted visibility based on dehazing and SE-YOLO algorithms-Reference-Cited by-同舟云学术

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A two-stage approach for ship detection in restricted visibility based on dehazing and SE-YOLO algorithms

Published:2024-06-28 Issue: Volume: Page:1-13
ISSN:1744-5302
Container-title:Ships and Offshore Structures
language:en
Short-container-title:Ships and Offshore Structures

Author:

Ning Jun¹,Zhang Xue¹²,Hao Liying³,Philip Chen C. L.⁴

Affiliation:

1. College of Navigation, Dalian Maritime University, Dalian, Liaoning, People's Republic of China

2. Faculty of Technology, Harbin Institute of Technology, Harbin, Heilongjiang, People's Republic of China

3. College of Marine Electrical Engineering, Dalian Maritime University, Dalian, Liaoning, People's Republic of China

4. College of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, People's Republic of China

Funder

National Natural Science Foundation of China

Science and Technology Innovation Funds of Dalian

Liaoning Revitalization Talents Program

Natural Foundation Guidance Plan Project of Liaoning

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17445302.2024.2365019

Reference55 articles.

1. Interpretation of intelligence in CNN-pooling processes: a methodological survey

2. Research on Object Detection Method Based on FF-YOLO for Complex Scenes

3. Bochkovskiy A Wang CY Liao HYM. 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934.

4. Vision-based line detection for underwater inspection of breakwater construction using an ROV

5. Chen Z Wang Y Yang Y Liu D. 2021. PSD: principled synthetic-to-real dehazing guided by physical priors. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. p. 7180–7189.

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