| WinCLIP+ (4-shot) |
- Detection AUROC
- 95.2
- Segmentation AUPRO
- 89
|
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation 2023-03-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| CutPaste (Image level detector) |
- Detection AUROC
- 95.2
- Segmentation AUROC
- 88.3
|
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization 2021-04-08 |
코드 1 · 코드 2 |
| RFS Energy |
- Detection AUROC
- 95.1
|
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework 2021-08-27 |
코드 1 |
| InTra |
- Detection AUROC
- 95.0
- Segmentation AUROC
- 96.6
|
Inpainting Transformer for Anomaly Detection 2021-04-28 |
코드 1 · 코드 2 |
| DifferNet |
- Detection AUROC
- 94.9
- FPS
- 2
|
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows 2020-08-28 |
코드 1 · 코드 2 · 코드 3 |
| WinCLIP+ (2-shot) |
- Detection AUROC
- 94.4
- Segmentation AUPRO
- 88.4
|
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation 2023-03-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| EAR |
- Detection AUROC
- 94.2
|
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy 2023-10-06 |
연결 없음 |
| DFR |
- Detection AUROC
- 93.8
- Segmentation AUROC
- 95.5
- FPS
- 20
|
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation 2020-12-13 |
코드 1 |
| IGD (pre-trained SSL) |
- Detection AUROC
- 93.4
- Segmentation AUROC
- 93.0
|
Deep One-Class Classification via Interpolated Gaussian Descriptor 2021-01-25 |
코드 1 · 코드 2 |
| IGD |
- Detection AUROC
- 93.4
|
Deep One-Class Classification via Interpolated Gaussian Descriptor 2021-01-25 |
코드 1 · 코드 2 |
| WinCLIP+ (1-shot) |
- Detection AUROC
- 93.1
- Segmentation AUPRO
- 87.1
|
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation 2023-03-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| GCPF |
- Detection AUROC
- 93.1
- Segmentation AUROC
- 96.86
|
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained Feature 2021-01-06 |
코드 1 |
| PEDENet |
- Detection AUROC
- 92.8
- Segmentation AUROC
- 95.9
|
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation 2021-10-29 |
연결 없음 |
| RegAD (16 shot) |
- Detection AUROC
- 92.7
- Segmentation AUROC
- 96.6
|
Registration based Few-Shot Anomaly Detection 2022-07-15 |
코드 1 |
| IGD (pre-trained ImageNet) |
- Detection AUROC
- 92.6
- Segmentation AUROC
- 91
|
Deep One-Class Classification via Interpolated Gaussian Descriptor 2021-01-25 |
코드 1 · 코드 2 |
| Patch-SVDD |
- Detection AUROC
- 92.1
- Segmentation AUROC
- 95.7
- FPS
- 2.1
|
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation 2020-06-29 |
코드 1 · 코드 2 · 코드 3 |
| WinCLIP (0-shot) |
- Detection AUROC
- 91.8
- Segmentation AUPRO
- 64.6
|
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation 2023-03-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| RIAD |
- Detection AUROC
- 91.7
- Segmentation AUROC
- 94.2
|
Reconstruction by Inpainting for Visual Anomaly Detection 2020-10-17 |
코드 1 · 코드 2 |
| AnomalyCLIP |
- Detection AUROC
- 91.5
- Segmentation AUROC
- 91.1
- Segmentation AUPRO
- 81.4
|
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection 2023-10-29 |
코드 1 · 코드 2 · 코드 3 |
| RegAD (8 shot) |
- Detection AUROC
- 91.2
- Segmentation AUROC
- 96.7
|
Registration based Few-Shot Anomaly Detection 2022-07-15 |
코드 1 |
| UTAD |
- Detection AUROC
- 90
|
Unsupervised Two-Stage Anomaly Detection 2021-03-22 |
연결 없음 |
| VAE-GAN |
- Detection AUROC
- 90
|
Can I trust my anomaly detection system? A case study based on explainable AI 2024-07-29 |
코드 1 |
| AdaCLIP |
- Detection AUROC
- 89.2
- Segmentation AUROC
- 88.7
|
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection 2024-07-22 |
코드 1 |
| RFS Energy (16 shot) |
- Detection AUROC
- 89.02
|
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework 2021-08-27 |
코드 1 |
| RegAD (4 shot) |
- Detection AUROC
- 88.2
- Segmentation AUROC
- 95.8
|
Registration based Few-Shot Anomaly Detection 2022-07-15 |
코드 1 |
| MOCCA |
- Detection AUROC
- 87.5
|
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection 2020-12-09 |
코드 1 |
| Mean-Shifted Contrastive Loss |
- Detection AUROC
- 87.2
|
Mean-Shifted Contrastive Loss for Anomaly Detection 2021-06-07 |
코드 1 · 코드 2 |
| DisAug CLR |
- Detection AUROC
- 86.5
- Segmentation AUROC
- 90.4
|
Learning and Evaluating Representations for Deep One-class Classification 2020-11-04 |
코드 1 |
| RotNet (MLP Head) |
- Detection AUROC
- 86.3
- Segmentation AUROC
- 93
|
Learning and Evaluating Representations for Deep One-class Classification 2020-11-04 |
코드 1 |
| APRIL-GAN(zero-shot) |
- Detection AUROC
- 86.1
- Segmentation AUROC
- 87.6
- Segmentation AUPRO
- 44.0
- Segmentation AP
- 40.8
|
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 2023-05-27 |
코드 1 · 코드 2 |