Automated Anomaly Detection for Surface Defects by Dual Generative ...
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Mar 31, 2023 · The experimental results demonstrate that the proposed network and noise injection technique achieve significant performance gains in the ...
To deal with limited training data, an alternative way is to adjust the network structure and parameters in addition to data augmentation. Such as broad ...
Automated Anomaly Detection on the Surfaces by Dual Generative Networks with Limited Training Data. March 2023; IEEE Transactions on Industrial Informatics.
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Posted: 7 days ago
Posted: 7 days ago
May 22, 2023 · Automated Anomaly Detection for Surface Defects by Dual Generative Networks With Limited Training Data. ieeexplore.ieee.org · 8 · Like Comment.
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Aug 15, 2024 · We propose a novel reconstruction-based model for anomaly detection in image data, called 'Y-GAN'. The model consists of a Y-shaped auto-encoder and represents ...
Automated anomaly detection for surface defects by dual generative networks with limited training data. C Zhang, W Dai, V Isoni, A Sourin. IEEE Transactions ...
Oct 22, 2021 · In supervised learning based anomaly detection, GANs are used to augment the dataset for the anomalous class. However, the studied papers report ...
Jun 12, 2020 · In this study, an anomaly detection neural network, dual auto-encoder generative adversarial network (DAGAN), was developed to solve the problem of sample ...
Oct 1, 2023 · Surface defect detection is a critical aspect of industrial production as it directly impacts product quality.