YOLOv7-ship: An Efficient Method for Marine Ship Detection Based on Wave Glider-Reference-Cited by-同舟云学术

YOLOv7-ship: An Efficient Method for Marine Ship Detection Based on Wave Glider

Published:2023-10-27 Issue: Volume:26 Page:213-220
ISSN:
Container-title:2023 12th International Conference on Computing and Pattern Recognition
language:
Short-container-title:

Author:

Sun Xiujun¹^ORCID,Zhang Xudong²^ORCID,Wang Yong²^ORCID,Sang Hongqiang³^ORCID,Zhou Ying⁴^ORCID

Affiliation:

1. Physical Oceangraphy Laboratory, Ocean University of China, China

2. Department of Computer Science and Technology, Ocean University of China, China

3. School of Mechanical Engineering and Tianjin Key Laboratory of Advanced Mechatronic Equipment Technology, Tiangong University, China

4. Institute for Advanced Ocean Study, Ocean University of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3633637.3633671

Reference30 articles.

1. Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020).

2. Henri Bouma, Dirk-Jan J de Lange, Sebastiaan P van den Broek, Rob AW Kemp, and Piet BW Schwering. 2008. Automatic detection of small surface targets with electro-optical sensors in a harbor environment. In Electro-Optical Remote Sensing, Photonic Technologies, and Applications II, Vol. 7114. SPIE, 9–16.

3. Zuohuan Chen, Jiayuan Yang, Zhining Chen, and Zhen Kang. 2018. Ship Target Detection Algorithm for Maritime Surveillance Video Based on Gaussian Mixture Model. In Journal of Physics: Conference Series, Vol. 1098. IOP Publishing, 012021.

4. The Wave Glider: enabling a new approach to persistent ocean observation and research

5. Detection and tracking of marine vehicles in video