Unsupervised industrial image ensemble anomaly detection based on object pseudo-anomaly generation and normal image feature combination enhancement

Author:

Shen Haoyuan,Wei Baolei,Ma Yizhong,Gu Xiaoyu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference38 articles.

1. (2022) Masked Autoencoders Are Scalable Vision Learners;Kaiming;Computer Vision and Pattern Recognition,2022

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3. An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model;Su;Computers & Industrial Engineering,2021

4. A deep learning process anomaly detection approach with representative latent features for low discriminative and insufficient abnormal data;Yuan;Computers & Industrial Engineering,2023

5. Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models;Justus;Computers & Industrial Engineering,2023

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