| ACR (zero-shot) |
- Detection AUROC
- 85.8
- Segmentation AUROC
- 92.5
- Segmentation AUPRO
- 72.7
- Segmentation AP
- 38.9
|
Zero-Shot Anomaly Detection via Batch Normalization 2023-02-15 |
코드 1 |
| RFS Energy (1 shot) |
- Detection AUROC
- 85.61
|
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework 2021-08-27 |
코드 1 |
| SPADE |
- Detection AUROC
- 85.5
- Segmentation AUROC
- 96.5
- FPS
- 1.5
|
Sub-Image Anomaly Detection with Deep Pyramid Correspondences 2020-05-05 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| CDO |
- Segmentation AUROC
- 98.70
- Segmentation AUPRO
- 96.50
- FPS
- 79.6 (exclude data inputting time), 18.7 (contain data inputting time)
|
Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization 2023-02-17 |
코드 1 |
| PyramidFlow (Res18) |
- Segmentation AUROC
- 97.1
- Segmentation AUPRO
- 96.5
|
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow 2023-03-05 |
연결 없음 |
| PEFM |
- Segmentation AUROC
- 98.30
- Segmentation AUPRO
- 95.52
|
Position Encoding Enhanced Feature Mapping for Image Anomaly Detection 2022-06-06 |
코드 1 |
| PyramidFlow (FNF) |
- Segmentation AUROC
- 96.0
- Segmentation AUPRO
- 94.5
|
PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow 2023-03-05 |
연결 없음 |
| IKD |
- Segmentation AUROC
- 97.81
- Segmentation AUPRO
- 92.55
|
Informative knowledge distillation for image anomaly segmentation 2022-07-19 |
코드 1 |
| Student–Teacher AD (Multiscale) |
- Segmentation AUPRO
- 91.4
- Segmentation AP
- 45.5
|
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings 2019-11-06 |
코드 1 · 코드 2 · 코드 3 |
| Student–Teacher AD (p=33) |
- Segmentation AUPRO
- 90.0
|
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings 2019-11-06 |
코드 1 · 코드 2 · 코드 3 |
| VCP-CLIP |
- Segmentation AUROC
- 92.0
- Segmentation AUPRO
- 87.3
- Segmentation AP
- 49.4
|
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation 2024-07-17 |
코드 1 |
| Student–Teacher AD (p=65) |
- Segmentation AUPRO
- 85.7
|
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings 2019-11-06 |
코드 1 · 코드 2 · 코드 3 |
| FastFlow+AltUB |
- Segmentation AUROC
- 98.83
|
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection 2022-10-26 |
연결 없음 |
| ReConPatch Ensemble |
- Segmentation AUROC
- 98.67
|
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection 2023-05-26 |
코드 1 |
| Semi-orthogonal |
- Segmentation AUROC
- 98.2
|
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation 2021-05-31 |
코드 1 · 코드 2 · 코드 3 |
| PaDiM-R18-Rd100 |
- Segmentation AUROC
- 96.7
|
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 |
| CutPaste (Patch level detector) |
- Segmentation AUROC
- 96.0
|
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization 2021-04-08 |
코드 1 · 코드 2 |
| FAVAE |
- Segmentation AUROC
- 95.3
|
Anomaly localization by modeling perceptual features 2020-08-12 |
코드 1 |
| FCDD (semi-supervised) |
- Segmentation AUROC
- 94
|
Explainable Deep One-Class Classification 2020-07-03 |
코드 1 |
| CAVGA-R (weakly-supervised) |
- Segmentation AUROC
- 93
|
Attention Guided Anomaly Localization in Images 2019-11-19 |
연결 없음 |
| CAVGA-D (weakly-supervised) |
- Segmentation AUROC
- 92
|
Attention Guided Anomaly Localization in Images 2019-11-19 |
연결 없음 |
| VAE-grad |
- Segmentation AUROC
- 89.2
|
Iterative energy-based projection on a normal data manifold for anomaly localization 2020-02-10 |
코드 1 |
| CAVGA-R (unsupervised) |
- Segmentation AUROC
- 89
|
Attention Guided Anomaly Localization in Images 2019-11-19 |
연결 없음 |
| FCDD (unsupervised) |
- Segmentation AUROC
- 88
|
Explainable Deep One-Class Classification 2020-07-03 |
코드 1 |
| CAVGA-D (unsupervised) |
- Segmentation AUROC
- 85
|
Attention Guided Anomaly Localization in Images 2019-11-19 |
연결 없음 |
| CPR-faster(TensorRT) |
- FPS
- 1016
|
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval 2023-08-13 |
코드 1 |
| CPR-fast(TensorRT) |
- FPS
- 362
|
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval 2023-08-13 |
코드 1 |
| CPR(TensorRT) |
- FPS
- 130
|
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval 2023-08-13 |
코드 1 |