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20202024
most citedAchieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies

3 citations · 3 across the 7 of their papers we have counts for

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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…