OpenCodePapers

multi-class-anomaly-detection-on-mvtec-ad

Anomaly DetectionMulti-class Anomaly Detection
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PaperCodeDetection AUROCSegmentation AUROCModelNameReleaseDate
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection✓ Link99.898.6INP-Former-Large2025-03-04
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection✓ Link99.898.5Dinomaly-Large2024-05-23
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection✓ Link99.798.5INP-Former-Base2025-03-04
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection✓ Link99.698.4Dinomaly-Base2024-05-23
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection✓ Link98.698.5RLR2024-03-18
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection✓ Link98.697.7MambaAD2024-04-09
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection✓ Link98.497.9HGAD2024-03-20
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection98.398.1PNPT2024-06-17
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection✓ Link98.398.0CRAS2025-05-23
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection✓ Link98.097.3HVQ-Trans2023-10-22
OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization97.298.3OminAL2023-01-01
DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection✓ Link97.296.8DiAD2023-12-11
A Unified Model for Multi-class Anomaly Detection✓ Link96.596.8UniAD2022-06-08
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