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SOTA
이상치 탐지
Anomaly Detection On Visa
Anomaly Detection On Visa
평가 지표
Detection AUROC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
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모델 이름
Detection AUROC
Paper Title
Repository
CFLOW
91.5
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
AnomalyDINO-S (full-shot)
97.6
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
WinCLIP+ (2-shot)
84.6
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Reverse Distillation
-
Anomaly Detection via Reverse Distillation from One-Class Embedding
GLASS
98.8
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
MuSc (zero-shot)
92.8
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
AnomalyCLIP
82.1
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
AnomalyDINO-S (4-shot)
92.6
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
APRIL-GAN
78.0
APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
AST
94.9
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection
SPD
87.8
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
STPM
83.3
Student-Teacher Feature Pyramid Matching for Anomaly Detection
SAA+
-
Segment Any Anomaly without Training via Hybrid Prompt Regularization
ReContrast
97.5
-
-
WinCLIP (0-shot)
78.1
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
EfficientAD-S
97.5
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
PaDiM
-
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
AnoDDPM
78.2
AnoDDPM: Anomaly Detection With Denoising Diffusion Probabilistic Models Using Simplex Noise
SPADE
82.1
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
DiffusionAD
98.8
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
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