Implemention of the paper "Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework"
https://arxiv.org/abs/2108.12159
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework Results and Comparisons
- AUC Performance on MVTec-AD 94.1 % AUC of the ROC curve -Comparison provided against DifferNet, 1-NN, OCSVM, DSEBM, GANomaly, and GeoTrans.
ROC Performance MVTec AD
#Few-shot Experimental Results for MVTec AD
- AUC=89.02 % for Ten Shot
- Comparison provided against DifferNet, DROCC, PatchSVDD,DeepSVDD,GeoTrans, and HTDGM.
Samples of D2-Net Features
