Most approaches to dense anomaly detection rely on generative modeling o...
Open-set segmentation is often conceived by complementing closed-set
cla...
Most dense recognition methods bring a separate decision in each particu...
Anomaly detection can be conceived either through generative modelling o...
Standard machine learning is unable to accommodate inputs which do not b...
Normalizing flows are bijective mappings between inputs and latent
repre...
Today's deep models are often unable to detect inputs which do not belon...