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Found 4 papers, 2 papers with code
Diffusion models meet image counter-forensics
We show that diffusion purification methods are well suited for counter-forensics tasks.
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
In this work we propose a one-class self-supervised method for anomaly segmentation in images that benefits both from a modern machine learning approach and a more classic statistical detection theory.
A Contrario multi-scale anomaly detection method for industrial quality inspection
In this work we propose an a contrario framework to detect anomalies in images applying statistical analysis to feature maps obtained via convolutions.
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection
In this work we propose an a contrario framework to detect anomalies in images applying statistical analysis to feature maps obtained via convolutions.
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