Transformer-Guided Serial Knowledge Distillation for High-Precision Anomaly Detection

Unsupervised anomaly detection (AD) remains a notable challenge in computer vision research, due to the inherent absence of annotated anomalous data and the unpredictable nature of anomaly manifestations. To address these challenges, a novel Transformer-based knowledge distillation framework is prop...

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Bibliografische gegevens
Hoofdauteurs: Danyang Wang, Bingyan Wang
Formaat: Artikel
Taal:Engels
Gepubliceerd in: IEEE 2025-01-01
Reeks:IEEE Access
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Online toegang:https://ieeexplore.ieee.org/document/11062580/
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