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Depth Anomaly Detection And Segmentation On

Métriques

Detection AUROC

Segmentation AUPRO

Segmentation AUROC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Detection AUROC	Segmentation AUPRO	Segmentation AUROC	Paper Title	Repository
CPMF (2D)	0.8918	0.9145	0.9730	Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
TransFusion	0.957	0.947	-	TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
Depth VM	0.546	0.374	-	The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
CPMF (2D+3D)	0.9515	0.9293	0.9781	Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
CPMF (3D)	0.8304	0.9230	0.9780	Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (Depth iNet)	0.675	0.755	0.930	Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (SIFT)	0.727	0.910	0.974	Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (RaW)	0.573	0.442	0.771	Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
3DSR (3D)	0.922	0.907	-	Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (NSA)	0.696	0.5572	0.817	Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
Depth GAN	0.523	0.143	-	The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
Depth AE	0.546	0.203	-	The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection (HoG)	0.559	0.771	0.930	Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection

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