CFA Paper Review: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly…

CFA Paper Review: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization

A novel anomaly localization approach that produces the features adapted to the target dataset and employs transfer learning

This article is in continuation of the stories Paper Review: Reconstruction by inpainting for visual anomaly detection and GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training. In the previous posts, I covered reconstruction-based approaches that identify anomalies in images. Models, such as autoencoder and …

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