Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (Depth iNet)

Reported on 3 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Anomaly DetectiononMVTEC 3D-AD
Detection AUROC· uses extra data· 2022-03-10
0.675
best: 93.7 (AST)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
Anomaly DetectiononMVTEC 3D-AD
Segmentation AUPRO· uses extra data· 2022-03-10
0.755
best: 93.75 (CDO)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550
Anomaly DetectiononMVTEC 3D-AD
Segmentation AUROC· uses extra data· 2022-03-10
0.93
best: 97.6 (AST)
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection arXiv:2203.05550