Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection

Conrad Orglmeister, Erik Bochinski, Volker Eiselein +1

Understanding the decision-making and trusting the reliability of Deep Machine Learning Models is crucial for adopting such methods to safety-relevant applications. We extend self-…