An Improved Approach for Generative Model-Based Product Image Anomaly Detection
Author:
Affiliation:
1. University of Aizu
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9954607/9954630/09954815.pdf?arnumber=9954815
Reference9 articles.
1. Generative adversarial nets;goodfellow;Advances in neural information processing systems,2014
2. Reducing the Dimensionality of Data with Neural Networks
3. CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
4. Deep Residual Learning for Image Recognition
5. f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
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