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Anomaly Detection
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One-class ImageNet-30
Anomaly Detection on One-class ImageNet-30
Metric: AUROC (higher is better)
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#
Model
↕
AUROC
▼
Augmentations
Paper
Date
↕
Code
1
BCE-Clip (OE)
99.9
Yes
Exposing Outlier Exposure: What Can Be Learned F...
2022-05-23
Code
2
CLIP (Zero Shot)
99.88
No
Exposing Outlier Exposure: What Can Be Learned F...
2022-05-23
Code
3
Binary Cross Entropy (OE)
97.7
Yes
Exposing Outlier Exposure: What Can Be Learned F...
2022-05-23
Code
4
CSI
91.6
No
CSI: Novelty Detection via Contrastive Learning ...
2020-07-16
Code
5
FCDD
91
Yes
Explainable Deep One-Class Classification
2020-07-03
Code
6
RotNet + Translation + Self-Attention + Resize
85.7
No
Using Self-Supervised Learning Can Improve Model...
2019-06-28
Code
7
RotNet + Translation + Self-Attention
84.8
Yes
Using Self-Supervised Learning Can Improve Model...
2019-06-28
Code
8
RotNet + Self-Attention
81.6
Yes
Using Self-Supervised Learning Can Improve Model...
2019-06-28
Code
9
RotNet + Translation
77.9
Yes
Using Self-Supervised Learning Can Improve Model...
2019-06-28
Code
10
RotNet
65.3
No
Using Self-Supervised Learning Can Improve Model...
2019-06-28
Code
11
Supervised (OE)
56.1
Yes
Using Self-Supervised Learning Can Improve Model...
2019-06-28
Code
#1
BCE-Clip (OE)
SOTA
99.9
AUROC
· Augmentations
· 2022-05-23
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Code
#2
CLIP (Zero Shot)
99.88
AUROC
· 2022-05-23
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Code
#3
Binary Cross Entropy (OE)
97.7
AUROC
· Augmentations
· 2022-05-23
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Code
#4
CSI
SOTA
91.6
AUROC
· 2020-07-16
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Code
#5
FCDD
SOTA
91
AUROC
· Augmentations
· 2020-07-03
Explainable Deep One-Class Classification
Code
#6
RotNet + Translation + Self-Attention + Resize
SOTA
85.7
AUROC
· 2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Code
#7
RotNet + Translation + Self-Attention
84.8
AUROC
· Augmentations
· 2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Code
#8
RotNet + Self-Attention
81.6
AUROC
· Augmentations
· 2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Code
#9
RotNet + Translation
77.9
AUROC
· Augmentations
· 2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Code
#10
RotNet
65.3
AUROC
· 2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Code
#11
Supervised (OE)
56.1
AUROC
· Augmentations
· 2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Code