1 citations · 1 across the 4 of their papers we have counts for
4 papers
PhotoHolmes: a Python library for forgery detection in digital images
Julián O'Flaherty, Rodrigo Paganini, Juan Pablo Sotelo +4
In this paper, we introduce PhotoHolmes, an open-source Python library designed to easily run and benchmark forgery detection methods on digital images. The library includes implem…
Diffusion models meet image counter-forensics
Matías Tailanian, Marina Gardella, Álvaro Pardo +1
From its acquisition in the camera sensors to its storage, different operations are performed to generate the final image. This pipeline imprints specific traces into the image to…
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Matías Tailanian, Álvaro Pardo, Pablo Musé
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 statisti…
A Contrario multi-scale anomaly detection method for industrial quality inspection
Matías Tailanian, Pablo Musé, Álvaro Pardo
Anomalies can be defined as any non-random structure which deviates from normality. Anomaly detection methods reported in the literature are numerous and diverse, as what is consid…