ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning

Xincheng Yao, Chao Shi, Muming Zhao +2

This paper explores the problem of class-agnostic anomaly detection (AD), where the objective is to train one class-agnostic AD model that can generalize to detect anomalies in div…