SOTAVerified

3D Anomaly Detection

3D-only Anomaly Detection. Structures out of normal distribution are detected from the 3D-only point cloud.

Papers

Showing 3136 of 36 papers

TitleStatusHype
Shape-Guided: Shape-Guided Dual-Memory Learning for 3D Anomaly DetectionCode1
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples0
Asymmetric Student-Teacher Networks for Industrial Anomaly DetectionCode1
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly DetectionCode1
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors0
Towards Total Recall in Industrial Anomaly DetectionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUS-NetMean Performance of P. and O. 0.82Unverified
2MC4ADMean Performance of P. and O. 0.81Unverified
3ISMPMean Performance of P. and O. 0.8Unverified
4MC3D-ADMean Performance of P. and O. 0.78Unverified
5PASDFMean Performance of P. and O. 0.77Unverified
6PO3ADMean Performance of P. and O. 0.77Unverified
7Group3ADMean Performance of P. and O. 0.74Unverified
8PointADMean Performance of P. and O. 0.74Unverified
9IMRNetMean Performance of P. and O. 0.73Unverified
10GLFMMean Performance of P. and O. 0.72Unverified
#ModelMetricClaimedVerifiedStatus
1MC4ADO-AUROC0.91Unverified
2PASDFO-AUROC0.9Unverified
3MC3D-ADO-AUROC0.84Unverified
4PO3ADO-AUROC0.84Unverified
5DUS-NetO-AUROC0.8Unverified
6R3D-ADO-AUROC0.75Unverified
7ISMPO-AUROC0.71Unverified
8IMRNetO-AUROC0.66Unverified
#ModelMetricClaimedVerifiedStatus
1MC4ADO-AUROC0.89Unverified
2PatchCore (FPFH)O-AUROC0.88Unverified
3BTF (FPFH)O-AUROC0.63Unverified
4M3DMO-AUROC0.57Unverified
5PatchCore (PointMAE)O-AUROC0.57Unverified
6Reg3D-ADO-AUROC0.53Unverified
7BTF (Raw)O-AUROC0.5Unverified