MECAD: A multi-expert architecture for continual anomaly detection

Malihe Dahmardeh, Francesco Setti

In this paper we propose MECAD, a novel approach for continual anomaly detection using a multi-expert architecture. Our system dynamically assigns experts to object classes based o…