12 citations · 19 across the 15 of their papers we have counts for
3 papers · 1 filter
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise
Anne-Sophie Collin, Christophe De Vleeschouwer
In industrial vision, the anomaly detection problem can be addressed with an autoencoder trained to map an arbitrary image, i.e. with or without any defect, to a clean image, i.e.…
Adapting JPEG XS gains and priorities to tasks and contents
Benoit Brummer, Christophe De Vleeschouwer
Most current research in the domain of image compression focuses solely on achieving state of the art compression ratio, but that is not always usable in today's workflow due to th…
Natural Image Noise Dataset
Benoit Brummer, Christophe De Vleeschouwer
Convolutional neural networks have been the focus of research aiming to solve image denoising problems, but their performance remains unsatisfactory for most applications. These ne…