2020
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
CVPR 2020poster
We introduce a powerful student-teacher framework for the challenging problem of unsupervised anomaly detection and pixel-precise anomaly segmentation in high-resolution images. Student networks are trained to regress the output of a descriptive teacher network that was pretrained on a large dataset…