Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans-Reference-Cited by-同舟云学术

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Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans

Published:2021-10 Issue: Volume:459 Page:361-369
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Posilović Luka,Medak Duje,Subašić Marko,Budimir Marko,Lončarić Sven

Funder

European Regional Development Fund

European Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference49 articles.

1. Nondestructive testing: radiography, ultrasonics, liquid penetrant, magnetic particle, eddy current;Cartz;ASM International,1995

2. Computerized ultrasonic imaging inspection: From shallow to deep learning;Ye;Sensors,2018

3. P. Broberg, Imaging and analysis methods for automated weld inspection, Ph.D. thesis, Luleå tekniska universitet (2014).

4. Ultrasonic Testing of Materials;Krautkrämer;Springer-Verlag,1983

5. Flaw detection from ultrasonic images using yolo and ssd;Posilović,2019

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2. Efficient online surface defect detection using multiple instance learning;Expert Systems with Applications;2024-10

3. Application of Object Detection Algorithms in Non-Destructive Testing of Pressure Equipment: A Review;Sensors;2024-09-13

4. An enhanced algorithm for object detection based on generative adversarial structure;Engineering Applications of Artificial Intelligence;2024-07

5. Automated Weld Defect Detection in Industrial Ultrasonic B-Scan Images Using Deep Learning;NDT;2024-06-07

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