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teacher.pth: Pre-trained teacher network (31MB)student.pth: Trained student network (44MB)autoencoder.pth: Trained autoencoder (4.2MB)1import torch
2
3# Load models
4teacher = torch.load('teacher.pth')
5student = torch.load('student.pth')
6autoencoder = torch.load('autoencoder.pth')1@article{efficientad2023,
2 title={EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies},
3 author={Batzner, Kilian and Heckler, Lars and König, Rebecca},
4 journal={arXiv preprint arXiv:2303.14535},
5 year={2023}
6}