Abstract: Anomaly detection plays a crucial role in real-world applications by identifying instances that deviate significantly from the norm. In the context of road anomalies, deep learning models ...
Abstract: Knowledge distillation has emerged as a primary solution for anomaly detection, leveraging feature discrepancies between teacher–student (T–S) networks to locate anomalies. However, previous ...
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