Welding defects classification by weakly supervised semantic segmentation
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Condensed Matter Physics,General Materials Science
Reference33 articles.
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1. Enhancing Weld Inspection Through Comparative Analysis of Traditional Algorithms and Deep Learning Approaches;Journal of Nondestructive Evaluation;2024-03-18
2. Impact of annotation quality on model performance of welding defect detection using deep learning;Welding in the World;2024-02-28
3. A Global-Local Feature Multilevel Fusion Network for Chip Defect Segmentation;IEEE Access;2024
4. Automated Welding Defect Detection using Point-Rend ResUNet;Journal of Nondestructive Evaluation;2023-12-11
5. Image Analysis of the Automatic Welding Defects Detection Based on Deep Learning;Journal of Nondestructive Evaluation;2023-09
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