CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning
–Neural Information Processing Systems
Motivated by this success, we introduce CADet (Contrastive Anomaly Detection), a novel method for OOD detection of single samples. CADet draws inspiration from MMD, but leverages the similarity between contrastive transformations of a same sample.
Neural Information Processing Systems
Oct-8-2025, 04:57:05 GMT