2024
MoEAD: A Parameter-efficient Model for Multi-class Anomaly Detection
ECCV 2024poster
"Utilizing a unified model to detect multi-class anomalies is a promising solution to real-world anomaly detection. Despite their appeal, such models typically suffer from large model parameters and thus pose a challenge to their deployment on memory-constrained embedding devices. To address this ch…