Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
Open paper
Benchmark
Model
Rank
Results
3d-anomaly-detection-and-segmentation-on-mvtec
GLFM
#3
Detection AUROC: 0.944
Segmentation AUROC: 0.979
3d-anomaly-detection-on-real-3d-ad
GLFM
#5
Mean Performance of P. and O.: 0.715
Point AUROC: 0.898
…
Rank counts only results with a code link.