NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation

Fuente: arXiv

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Bibliographic Details
Main Authors:	Dong, Hao, Frusque, Gaëtan, Zhao, Yue, Chatzi, Eleni, Fink, Olga
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2311.11961