| MSFR |
- Detection AUROC
- 98.4
|
Multi-scale feature reconstruction network for industrial anomaly detection 2024-10-23 |
코드 1 |
| OCR-GAN |
- Detection AUROC
- 98.3
|
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection 2022-03-01 |
코드 1 |
| CFLOW-AD |
- Detection AUROC
- 98.26
- Segmentation AUROC
- 98.62
- Segmentation AUPRO
- 94.6
- FPS
- 27
|
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows 2021-07-27 |
코드 1 · 코드 2 · 코드 3 |
| ProbabilisticPatchCore |
- Detection AUROC
- 98.2
- Segmentation AUROC
- 97.6
|
A Probabilistic Transformation of Distance-Based Outliers 2023-05-16 |
코드 1 |
| DSR |
- Detection AUROC
- 98.2
- Segmentation AP
- 70.2
|
DSR -- A dual subspace re-projection network for surface anomaly detection 2022-08-02 |
코드 1 |
| MSPBA |
- Detection AUROC
- 98.1
- Segmentation AUROC
- 98.1
- Segmentation AUPRO
- 95.5
|
Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation 2022-10-23 |
연결 없음 |
| TASAD |
- Detection AUROC
- 98.0
- Segmentation AUROC
- 98.2
- Segmentation AP
- 74.6
- FPS
- 142
|
Two-stage coarse-to-fine image anomaly segmentation and detection model 2023-09-19 |
코드 1 |
| DRAEM |
- Detection AUROC
- 98.0
- Segmentation AUROC
- 97.3
- Segmentation AP
- 68.4
|
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection 2021-08-17 |
코드 1 · 코드 2 · 코드 3 |
| SOMAD |
- Detection AUROC
- 97.9
- Segmentation AUROC
- 97.8
- Segmentation AUPRO
- 93.3
|
Anomaly Detection via Self-organizing Map 2021-07-21 |
코드 1 |
| PaDiM |
- Detection AUROC
- 97.9
|
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization 2020-11-17 |
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 |
| MuSc (zero-shot) |
- Detection AUROC
- 97.8
- Segmentation AUROC
- 97.3
- Segmentation AUPRO
- 93.8
- Segmentation AP
- 62.7
|
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images 2024-01-30 |
코드 1 |
| EdgRec |
- Detection AUROC
- 97.8
- Segmentation AUROC
- 97.7
- Segmentation AUPRO
- 92.1
|
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection 2022-10-26 |
코드 1 |
| AnomalyDINO-S (4-shot) |
- Detection AUROC
- 97.7
- Segmentation AUROC
- 97.2
- Segmentation AUPRO
- 93.4
|
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 2024-05-23 |
코드 1 |
| FYD |
- Detection AUROC
- 97.7
- Segmentation AUROC
- 98.2
|
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization 2021-10-09 |
연결 없음 |
| NSA+SSMCTB |
- Detection AUROC
- 97.7
- Segmentation AUROC
- 96.7
|
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection 2022-09-25 |
코드 1 |
| ISSTAD |
- Detection AUROC
- 97.6
- Segmentation AUROC
- 96.1
|
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization 2023-03-30 |
코드 1 |
| PFM |
- Detection AUROC
- 97.5
- Segmentation AUROC
- 97.3
- Segmentation AUPRO
- 93.0
|
Unsupervised Image Anomaly Detection and Segmentation Based on Pre-trained Feature Mapping 2021-08-06 |
코드 1 |
| NSA |
- Detection AUROC
- 97.2
- Segmentation AUROC
- 96.3
- Segmentation AUPRO
- 91.0
|
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization 2021-09-30 |
코드 1 · 코드 2 · 코드 3 |
| AnomalyDINO-S (2-shot) |
- Detection AUROC
- 96.9
- Segmentation AUROC
- 97.0
- Segmentation AUPRO
- 93.1
|
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 2024-05-23 |
코드 1 |
| AnomalyDINO-S (1-shot) |
- Detection AUROC
- 96.6
- Segmentation AUROC
- 96.8
- Segmentation AUPRO
- 92.7
|
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 2024-05-23 |
코드 1 |
| Gaussian-AD+DFS |
- Detection AUROC
- 96.6
|
Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative Analysis 2022-09-12 |
코드 1 |
| DualModel |
- Detection AUROC
- 96.2
|
Exploring Dual Model Knowledge Distillation for Anomaly Detection 2023-06-27 |
연결 없음 |
| CutPaste+SSPCAB |
- Detection AUROC
- 96.1
|
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection 2021-11-17 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| CutPaste (ensemble) |
- Detection AUROC
- 96.1
|
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization 2021-04-08 |
코드 1 · 코드 2 |
| AnoSeg |
- Detection AUROC
- 96
- Segmentation AUROC
- 97
|
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning 2021-10-07 |
연결 없음 |
| SCL-VI |
- Detection AUROC
- 95.81
- Segmentation AUROC
- 96.76
|
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects 2023-11-11 |
코드 1 |
| Gaussian-AD |
- Detection AUROC
- 95.8
|
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection 2020-05-28 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| STPM |
- Detection AUROC
- 95.5
- Segmentation AUROC
- 97.0
|
Student-Teacher Feature Pyramid Matching for Anomaly Detection 2021-03-07 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 |
| PatchCore(16shot) |
- Detection AUROC
- 95.4
|
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 |
| PaDiM-WR50-Rd550 |
- Detection AUROC
- 95.3
- Segmentation AUROC
- 97.5
- FPS
- 4.4
|
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization 2020-11-17 |
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 |