Autoencoder-Like Knowledge Distillation Network for Anomaly Detection

Anomaly detection is a crucial research field in computer vision with diverse applications in practical scenarios. The common anomaly detection methods employed currently consist of autoencoders, generative adversarial networks, and knowledge distillation (KD) models. However, the teacher and studen...

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Autors principals:	Caie Xu, Bingyan Wang, Dandan Ni, Jin Gan, Mingyang Wu, Wujie Zhou
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2023-01-01
Col·lecció:	IEEE Access
Matèries:	Anomaly detection dual attention knowledge distillation teacher-student
Accés en línia:	https://ieeexplore.ieee.org/document/10247009/
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