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Anomaly Detection
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VisA
Anomaly Detection on VisA
Metric: Segmentation AUPRO (higher is better)
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Segmentation AUPRO (best first)
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Date (newest first)
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Model name (A→Z)
#
Model
↕
Segmentation AUPRO
▼
Augmentations
Paper
Date
↕
Code
1
DiffusionAD
96
No
DiffusionAD: Norm-guided One-step Denoising Diff...
2023-03-15
Code
2
Dinomaly ViT-L (model-unified multi-class)
94.8
No
Dinomaly: The Less Is More Philosophy in Multi-C...
2024-05-23
Code
3
INP-Former ViT-B (model-unified multi-class)
94.4
No
Exploring Intrinsic Normal Prototypes within a S...
2025-03-04
Code
4
GLAD
94.3
No
GLAD: Towards Better Reconstruction with Global ...
2024-06-11
Code
5
UniNet
93.9
No
-
-
Code
6
PBAS
93.3
No
Progressive Boundary Guided Anomaly Synthesis fo...
2024-12-23
Code
7
MuSc (zero-shot)
92.7
No
MuSc: Zero-Shot Industrial Anomaly Classificatio...
2024-01-30
Code
8
ReContrast
92.6
No
-
-
-
9
VCP-CLIP
90.7
Yes
VCP-CLIP: A visual context prompting model for z...
2024-07-17
Code
10
WinCLIP+ (4-shot)
87.6
No
WinCLIP: Zero-/Few-Shot Anomaly Classification a...
2023-03-26
Code
11
SuperSimpleNet
87.4
No
SuperSimpleNet: Unifying Unsupervised and Superv...
2024-08-06
Code
12
AnomalyCLIP
87
Yes
AnomalyCLIP: Object-agnostic Prompt Learning for...
2023-10-29
Code
13
APRIL-GAN
86.8
Yes
APRIL-GAN: A Zero-/Few-Shot Anomaly Classificati...
2023-05-27
Code
14
WinCLIP+ (2-shot)
86.2
No
WinCLIP: Zero-/Few-Shot Anomaly Classification a...
2023-03-26
Code
15
WinCLIP+ (1-shot)
85.1
No
WinCLIP: Zero-/Few-Shot Anomaly Classification a...
2023-03-26
Code
16
WinCLIP (0-shot)
56.8
No
WinCLIP: Zero-/Few-Shot Anomaly Classification a...
2023-03-26
Code
#1
DiffusionAD
SOTA
96
Segmentation AUPRO
· 2023-03-15
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
Code
#2
Dinomaly ViT-L (model-unified multi-class)
94.8
Segmentation AUPRO
· 2024-05-23
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
Code
#3
INP-Former ViT-B (model-unified multi-class)
94.4
Segmentation AUPRO
· 2025-03-04
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
Code
#4
GLAD
94.3
Segmentation AUPRO
· 2024-06-11
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
Code
#5
UniNet
93.9
Segmentation AUPRO
No paper
Code
#6
PBAS
93.3
Segmentation AUPRO
· 2024-12-23
Progressive Boundary Guided Anomaly Synthesis for Industrial Anomaly Detection
Code
#7
MuSc (zero-shot)
92.7
Segmentation AUPRO
· 2024-01-30
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images
Code
#8
ReContrast
92.6
Segmentation AUPRO
No paper
#9
VCP-CLIP
90.7
Segmentation AUPRO
· Augmentations
· 2024-07-17
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
Code
#10
WinCLIP+ (4-shot)
87.6
Segmentation AUPRO
· 2023-03-26
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Code
#11
SuperSimpleNet
87.4
Segmentation AUPRO
· 2024-08-06
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
Code
#12
AnomalyCLIP
87
Segmentation AUPRO
· Augmentations
· 2023-10-29
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Code
#13
APRIL-GAN
86.8
Segmentation AUPRO
· Augmentations
· 2023-05-27
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
Code
#14
WinCLIP+ (2-shot)
86.2
Segmentation AUPRO
· 2023-03-26
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Code
#15
WinCLIP+ (1-shot)
85.1
Segmentation AUPRO
· 2023-03-26
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Code
#16
WinCLIP (0-shot)
56.8
Segmentation AUPRO
· 2023-03-26
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Code