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SOTA
異常検出
Anomaly Detection On Mvtec Ad
Anomaly Detection On Mvtec Ad
評価指標
Detection 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
Paper Title
Repository
CutPaste+SSPCAB
96.1
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
EfficientAD-M
99.1
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
PatchCore Large
99.6
Towards Total Recall in Industrial Anomaly Detection
CPR-faster
99.4
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
Fastflow
99.4
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
CPR-fast(TensorRT)
-
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
WinCLIP+ (1-shot)
93.1
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
DSR
98.2
DSR -- A dual subspace re-projection network for surface anomaly detection
CAVGA-D (weakly-supervised)
-
Attention Guided Anomaly Localization in Images
-
Gaussian-AD+DFS
96.6
Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative Analysis
ReConPatch Ensemble
-
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
EfficientAD-S
98.7
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
FYD
97.7
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization
-
Student–Teacher AD (p=65)
-
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
ProbabilisticPatchCore
98.2
A Probabilistic Transformation of Distance-Based Outliers
UTAD
90
Unsupervised Two-Stage Anomaly Detection
-
GLASS
99.9
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
MemSeg
99.56
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities
CutPaste (Patch level detector)
-
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
THFR
99.2
Template-guided Hierarchical Feature Restoration for Anomaly Detection
-
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