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3d-anomaly-detection-and-segmentation-on
Anomaly Detection
3D Anomaly Detection and Segmentation
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Code
Detection AUROC
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Segmentation AUROC
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ModelName
ReleaseDate
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Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
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0.954
0.946
MC4AD
2025-05-09
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
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0.9515
0.9781
CPMF (2D+3D)
2023-03-23
Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection
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0.944
0.979
GLFM
2025-02-21
Shape-Guided: Shape-Guided Dual-Memory Learning for 3D Anomaly Detection
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0.916
0.978
Shape-Guided (only SDF)
2023-01-27
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
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0.8918
0.9730
CPMF (2D)
2023-03-23
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
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0.8304
0.9780
CPMF (3D)
2023-03-23
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
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0.782
0.978
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (FPFH)
2022-03-10
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
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0.699
Voxel AE
2021-12-16
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
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0.571
Voxel VM
2021-12-16
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
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0.537
Voxel GAN
2021-12-16
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors
3D-ST_128
2022-02-23