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SOTA
异常检测
Anomaly Detection On Mpdd
Anomaly Detection On Mpdd
评估指标
Detection AUROC
Segmentation AUROC
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Detection AUROC
Segmentation AUROC
Paper Title
Repository
GLAD
97.5
98.7
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised 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
-
ADSPR
-
96.8
Anomaly Detection using Score-based Perturbation Resilience
PatchCore
82.12
95.66
Towards Total Recall in Industrial Anomaly Detection
-
ULSAD
95.73
97.45
Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection
-
DMDD
98.10
98.96
Dual-Modeling Decouple Distillation for Unsupervised Anomaly Detection
-
FastRecon
82.5
97.9
FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction
-
DiffusionAD
96.2
98.5
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
-
POUTA
97.5
-
Produce Once, Utilize Twice for Anomaly Detection
-
GLASS
99.6
99.4
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
-
Dinomaly
97.2
99.1
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
-
KAnoCLIP
77.8
98.3
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration
-
RealNet
96.3
98.2
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
-
PBAS
97.7
98.8
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
-
0 of 15 row(s) selected.
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