Core Loss:污染数据下基于Autoencoder的无监督异常检测损失。
Core Loss: Unsupervised Anomaly Detection under Data Pollution
Use case is shown in Script_coreloss.py. Can runing on the environment with pytorch 1.9
@article{shang2023core,
title={Core loss: Mining core samples efficiently for robust machine anomaly detection against data pollution},
author={Shang, Zuogang and Zhao, Zhibin and Yan, Ruqiang and Chen, Xuefeng},
journal={Mechanical Systems and Signal Processing},
volume={189},
pages={110046},
year={2023},
publisher={Elsevier}
}