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홈
SOTA
이상치 탐지
Anomaly Detection On Aebad S
Anomaly Detection On Aebad S
평가 지표
Detection AUROC
Segmentation AUPRO
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Detection AUROC
Segmentation AUPRO
Paper Title
Repository
MSFR
87.1
90.4
Multi-scale feature reconstruction network for industrial anomaly detection
-
MMR
84.7
89.1
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
ReverseDistillation
81.0
85.6
Anomaly Detection via Reverse Distillation from One-Class Embedding
PatchCore
71.0
87.8
Towards Total Recall in Industrial Anomaly Detection
DRAEM
62.5
63.6
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
-
NSA
56.7
45.9
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
InTra
44.2
74.7
Inpainting Transformer for Anomaly Detection
RIAD
40.0
58.2
Reconstruction by Inpainting for Visual Anomaly Detection
-
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