A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Filters
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
[article]
2021
arXiv
pre-print
To this end, we propose FastFlow implemented with 2D normalizing flows and use it as the probability distribution estimator. ...
Unsupervised anomaly detection and localization is crucial to the practical application when collecting and labeling sufficient anomaly data is infeasible. ...
Anomaly Detection and Localization via 2D Normalizing Flows Channel Ratio Parameters (M) Image-level AUC Pixel-level AUC CaiT 0.16× 14.8 99.4 98.5 0.33× 29.6 98.9 98.4 Wide-ResNet50-2 0.25× 10.9 98.9 98.0 ...
arXiv:2111.07677v2
fatcat:a7rzqjyu2vdpbm6ejgdckk4a3m