Awesome
RFS-Energy-Anomaly-Detection-of-Defect
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
<p align="center"> <img src="https://github.com/AmmarKamoona/RFS-Energy-Anomaly-Detection-of-Defect/blob/main/Img/proposed_approach.png" width="1024"> </p>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
<p align="center"> <img src="https://github.com/AmmarKamoona/RFS-Energy-Anomaly-Detection-of-Defect/blob/main/Img/roc_2.svg" width="650"> </p> <p align="center"> <img src="https://github.com/AmmarKamoona/RFS-Energy-Anomaly-Detection-of-Defect/blob/main/Img/roc_3.svg" width="650"> </p>#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
<p align="center"> <img src="https://github.com/AmmarKamoona/RFS-Energy-Anomaly-Detection-of-Defect/blob/main/Img/samples_d2net_features_Page_2.jpg" width="650"> </p>