MFSF-Net: A Multiscale Feature and Side-Outputs Fusion Network for Pixelwise Catastrophic Optical Damage Detection-Reference-Cited by-同舟云学术

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MFSF-Net: A Multiscale Feature and Side-Outputs Fusion Network for Pixelwise Catastrophic Optical Damage Detection

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Guo Shuai¹^ORCID,Li Dengao¹^ORCID,Zhao Jumin²^ORCID,Tang Bao³^ORCID,Luo Biao³^ORCID

Affiliation:

1. College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China

2. College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan, China

3. Accelink Technologies Company Ltd., Wuhan, China

Funder

National Major Scientific Research Instrument Development Project of China

Research and Development Project of Key Core and Common Technology of Shanxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10478613.pdf?arnumber=10478613

Reference49 articles.

1. Capacity Trends and Limits of Optical Communication Networks

2. Recent Advances and Future Directions on Underwater Wireless Communications

3. An automatic defect detection method for TO56 semiconductor laser using deep convolutional neural network

4. Mechanisms and fast kinetics of the catastrophic optical damage (COD) in GaAs-based diode lasers

Cited by 2 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. Spectral Detection of a Weak Frequency Band Signal Based on the Pre-Whitening Scale Transformation of Stochastic Resonance in a Symmetric Bistable System in a Parallel Configuration;Electronics;2024-09-12

2. COD-YOLO: An Efficient YOLO-Based Detector for Laser Chip Catastrophic Optical Damage Defect Detection;Arabian Journal for Science and Engineering;2024-07-31

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