Ines Abbes

Stable Latent Anchoring for Enhanced Anomaly Detection in Convolutional Autoencoders

A convolutional autoencoder (CAE) framework with a dual-term loss that combines reconstruction accuracy with a latent anchoring mechanism, encouraging latent representations to align toward a reference vector can achieve competitive performance compared to more complex models while maintaining simplicity and ease of de...