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SOTA
異常検出
Anomaly Detection On Mpdd
Anomaly Detection On Mpdd
評価指標
Detection AUROC
Segmentation AUROC
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Detection AUROC
Segmentation AUROC
Paper Title
Repository
GLASS
99.6
99.4
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
DMDD
98.10
98.96
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
-
PBAS
97.7
98.8
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
GLAD
97.5
98.7
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
POUTA
97.5
-
Produce Once, Utilize Twice for Anomaly Detection
-
Dinomaly
97.2
99.1
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
RealNet
96.3
98.2
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
DiffusionAD
96.2
98.5
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
ULSAD
95.73
97.45
Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection
LeMO
87.4
97.8
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
-
AdaCLIP
82.5
96.1
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
FastRecon
82.5
97.9
FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction
-
PatchCore
82.12
95.66
Towards Total Recall in Industrial Anomaly Detection
KAnoCLIP
77.8
98.3
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration
-
ADSPR
-
96.8
Anomaly Detection using Score-based Perturbation Resilience
-
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