Abstract: We propose an unsupervised open set recognition approach that uses an Adversarial Autoencoder (AAE) for clustering and combines it with ii-loss to learn a representation that facilitates ...

A PyTorch implementation of Adversarial Autoencoders (AAEs) for unsupervised classification ... Note: since the .ipynb file is quite large (lots of images!) it may not open correctly on GitHub. I ...

This repo contains a method to adversarially train Autoencoders (AEs) (Dense AE and Variational AE) for unsupervised anomaly segmentation ... For more details about the adversarial training procedure, ...