Weld Feature Extraction Based on Fully Convolutional Networks-Reference-Cited by-同舟云学术

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Weld Feature Extraction Based on Fully Convolutional Networks

Published:2019 Issue:3 Volume:46 Page:0302002
ISSN:0258-7025
Container-title:Chinese Journal of Lasers
language:en
Short-container-title:中国激光

Author:

Zhang Yongshuai 张永帅,Yang Guowei 杨国威,Wang Qiqi 王琦琦,Ma Lei 马雷,Wang Yizhong 王以忠

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Cited by 21 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. Vision-based algorithm for online TIG welding deviation detection of stainless steel welded pipes;Journal of the Optical Society of America A;2024-05-23

2. Vision-based seam tracking for GMAW fillet welding based on keypoint detection deep learning model;Journal of Manufacturing Processes;2024-05

3. Research on Optimization of Welding Process Parameters of Cast Aluminum Based on Feature Extraction;2024 Asia-Pacific Conference on Software Engineering, Social Network Analysis and Intelligent Computing (SSAIC);2024-01-10

4. Plate additive, seam-tracking technology based on feature segmentation;Optics & Laser Technology;2024-01

5. Deep learning-based welding image recognition: A comprehensive review;Journal of Manufacturing Systems;2023-06

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