2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
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…
cs.CV2022★ 2 cited
Assessing the Role of Datasets in the Generalization of Motion Deblurring Methods to Real Images
Guillermo Carbajal, Patricia Vitoria, José Lezama +1
Successfully training end-to-end deep networks for real motion deblurring requires datasets of sharp/blurred image pairs that are realistic and diverse enough to achieve generaliza…