Underwater occlusion object recognition with fusion of significant environmental features-Reference-Cited by-同舟云学术

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Underwater occlusion object recognition with fusion of significant environmental features

Published:2022-03-28 Issue:02 Volume:31 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Zhou Jiyong¹,Xu Tao²,Guo Wantao³,Zhao Weishuo⁴,Cai Lei²

Affiliation:

1. Henan Institute of Science and Technology, School of Mechatronics Electrical Engineering, Hongqi, Xi

2. Henan Institute of Science and Technology, School of Artificial Intelligence, Hongqi, Xinxiang

3. The First Standardization Laboratory, China North Standardization Center, Beijing

4. Henan Institute of Science and Technology, School of Information Engineering, Hongqi, Xinxiang

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 6 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. MFDNN: multi-scale feature-weighted dual-neck network for underwater object detection;Journal of Electronic Imaging;2024-04-22

2. An Efficient YOLO Network With CSPCBAM, Ghost, and Cluster-NMS for Underwater Target Detection;IEEE Access;2024

3. Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy;Pattern Recognition;2023-07

4. Underwater Target Detection Lightweight Algorithm Based on Multi-Scale Feature Fusion;Journal of Marine Science and Engineering;2023-02-02

5. Robust detection of farmed fish by fusing YOLOv5 with DCM and ATM;Aquacultural Engineering;2022-11

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