Jiseung Ahn

HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation

We propose HYBOOD, a hybrid out-of-distribution model based on normalizing flow followed by a simple linear classification model. In real-world settings, it is known that data corruption has a strong influence on model degradation; for example image quality like noise, blur and image geometry like t…