2 papers
eess.IV2021
Implicit field learning for unsupervised anomaly detection in medical images
Sergio Naval Marimont, Giacomo Tarroni
We propose a novel unsupervised out-of-distribution detection method for medical images based on implicit fields image representations. In our approach, an auto-decoder feed-forwar…
cs.CV2020
Anomaly detection through latent space restoration using vector-quantized variational autoencoders
Sergio Naval Marimont, Giacomo Tarroni
We propose an out-of-distribution detection method that combines density and restoration-based approaches using Vector-Quantized Variational Auto-Encoders (VQ-VAEs). The VQ-VAE mod…