UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection
Abstract: Anomaly detection (AD) is a crucial visual task aimed at recognizing abnormal pattern within samples. However, most existing AD methods suffer from limited generalizability, as they are ...
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