← Anomaly Detection
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아카이브 평가 148건 · 마지막 적재/변경

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

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원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
GLASS
Detection AUROC
99.9
Segmentation AUROC
99.3
Segmentation AUPRO
96.8
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
2024-07-12
코드 1 · 코드 2
UniNet
Detection AUROC
99.90
Segmentation AUROC
98.81
Segmentation AUPRO
96.00
UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection
2025-02-28
코드 1
PBAS
Detection AUROC
99.8
Segmentation AUROC
98.6
Segmentation AUPRO
97.3
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
2024-12-23
코드 1
HETMM
Detection AUROC
99.8
Segmentation AUROC
99
Segmentation AUPRO
96.4
Hard-normal Example-aware Template Mutual Matching for Industrial Anomaly Detection
2023-03-28
코드 1
INP-Fomer ViT-L (model-unified multi-class)
Detection AUROC
99.8
Segmentation AUROC
98.6
Segmentation AUPRO
95.6
Segmentation AP
72.1
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
2025-03-04
코드 1 · 코드 2
DDAD
Detection AUROC
99.8
Segmentation AUROC
98.1
Anomaly Detection with Conditioned Denoising Diffusion Models
2023-05-25
코드 1
EfficientAD (early stopping)
Detection AUROC
99.8
FPS
269
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
2023-03-25
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 · 코드 18 · 코드 19 · 코드 20 · 코드 21 · 코드 22 · 코드 23 · 코드 24 · 코드 25 · 코드 26 · 코드 27 · 코드 28 · 코드 29 · 코드 30 · 코드 31 · 코드 32 · 코드 33
Dinomaly ViT-L (model-unified multi-class)
Detection AUROC
99.77
Segmentation AUROC
98.54
Segmentation AUPRO
95.09
Segmentation AP
70.53
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
2024-05-23
코드 1 · 코드 2
ReConPatch Ensemble (+RefineNet)
Detection AUROC
99.72
Segmentation AUROC
99.2
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
2023-05-26
코드 1
ReConPatch WRN-50 (+RefineNet)
Detection AUROC
99.71
Segmentation AUROC
98.62
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
2023-05-26
코드 1
ADClick
Detection AUROC
99.7
Segmentation AUROC
99.2
Segmentation AUPRO
97.8
Segmentation AP
82.9
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
2024-07-03
연결 없음
CPR
Detection AUROC
99.7
Segmentation AUROC
99.2
Segmentation AUPRO
97.8
Segmentation AP
82.7
FPS
113
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
2023-08-13
코드 1
CPR-fast
Detection AUROC
99.7
Segmentation AUROC
99.2
Segmentation AUPRO
97.7
Segmentation AP
82.3
FPS
245
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
2023-08-13
코드 1
MSFlow
Detection AUROC
99.7
Segmentation AUROC
98.8
Segmentation AUPRO
97.1
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection
2023-08-29
코드 1
CRAS
Detection AUROC
99.7
Segmentation AUROC
98.4
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
2025-05-23
코드 1
PNI Ensemble
Detection AUROC
99.63
Segmentation AUROC
99.06
Segmentation AUPRO
96.55
PNI : Industrial Anomaly Detection using Position and Neighborhood Information
2022-11-22
코드 1
ReConPatch WRN-101
Detection AUROC
99.62
Segmentation AUROC
98.53
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
2023-05-26
코드 1
WeakREST-Un
Detection AUROC
99.6
Segmentation AUROC
99.3
Segmentation AUPRO
97.6
Segmentation AP
83.0
FPS
25.2
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
2023-06-06
연결 없음
Dinomaly ViT-B (model-unified multi-class)
Detection AUROC
99.60
Segmentation AUROC
98.35
Segmentation AUPRO
94.79
Segmentation AP
69.29
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
2024-05-23
코드 1 · 코드 2
PatchCore Large
Detection AUROC
99.6
Segmentation AUROC
98.2
Segmentation AUPRO
93.5
FPS
5.88
Towards Total Recall in Industrial Anomaly Detection
2021-06-15
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 · 코드 18
RealNet
Detection AUROC
99.6
Segmentation AUROC
99.0
Segmentation AUPRO
93.0
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
2024-03-09
코드 1
RememberingNormality
Detection AUROC
99.6
Segmentation AUROC
98.2
Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection
2023-01-01
코드 1 · 코드 2
SimpleNet
Detection AUROC
99.6
Segmentation AUROC
98.1
FPS
77(FP32 on 3080ti)
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
2023-03-27
코드 1 · 코드 2
PNI
Detection AUROC
99.56
Segmentation AUROC
98.98
Segmentation AUPRO
96.05
PNI : Industrial Anomaly Detection using Position and Neighborhood Information
2022-11-22
코드 1
MemSeg
Detection AUROC
99.56
Segmentation AUROC
98.84
FPS
31.3
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities
2022-05-02
코드 1 · 코드 2 · 코드 3 · 코드 4
ReConPatch WRN-50
Detection AUROC
99.56
Segmentation AUROC
98.18
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection
2023-05-26
코드 1
ReContrast
Detection AUROC
99.5
Segmentation AUROC
98.4
Segmentation AUPRO
95.2
연결 없음
논문 날짜 미기재
연결 없음
AnomalyDINO-S (full-shot)
Detection AUROC
99.5
Segmentation AUROC
98.2
Segmentation AUPRO
95
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2
2024-05-23
코드 1
POUTA
Detection AUROC
99.5
Segmentation AUROC
98.8
Produce Once, Utilize Twice for Anomaly Detection
2023-12-20
연결 없음
DMAD
Detection AUROC
99.5
Segmentation AUROC
98.2
Diversity-Measurable Anomaly Detection
2023-03-09
코드 1