IndusSynthe: Synthetic data using human-machine intelligence hybrid for enhanced industrial surface defect detection through self-updating with multi-view filtering-Reference-Cited by-同舟云学术

IndusSynthe: Synthetic data using human-machine intelligence hybrid for enhanced industrial surface defect detection through self-updating with multi-view filtering

Published:2024-01 Issue: Volume:59 Page:102253
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Gong Yu,Liu Mingzhou,Wang Xiaoqiao^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference63 articles.

1. Quality 4.0: a review of big data challenges in manufacturing;Escobar;J. Intell. Manuf.,2021

2. A review on recent advances in vision-based defect recognition towards industrial intelligence;Gao;J. Manuf. Syst.,2022

3. Anomaly detection of defects on concrete structures with the convolutional autoencoder;Chow;Adv. Eng. Inform.,2020

4. Deep CNN-based visual defect detection: Survey of current literature;Jha;Comput. Ind.,2023

5. A contrastive learning-based task adaptation model for few-shot intent recognition;Zhang;Inf. Process. Manag.,2022

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