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SOTA
Anomalieerkennung
Anomaly Detection On Aebad V
Anomaly Detection On Aebad V
Metriken
Detection AUROC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Detection AUROC
Paper Title
Repository
RIAD
56.1
Reconstruction by Inpainting for Visual Anomaly Detection
DRAEM
68.1
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
ReverseDistillation
71.0
Anomaly Detection via Reverse Distillation from One-Class Embedding
NSA
64.6
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
InTra
54.1
Inpainting Transformer for Anomaly Detection
PatchCore
70.7
Towards Total Recall in Industrial Anomaly Detection
MMR
78.2
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
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