ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction

Neural Information Processing Systems 

Most advanced unsupervised anomaly detection (UAD) methods rely on modeling feature representations of frozen encoder networks pre-trained on large-scale datasets, e.g.