Anomaly Detection on Unlabeled CIFAR-10 vs CIFAR-100

Metric: AUROC (higher is better)

LeaderboardDataset

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#	Model↕	AUROC▼	Augmentations	Paper	Date↕	Code
1	PsudoLabels ViT	96.7	Yes	Out-of-Distribution Detection Without Class Labels	2021-12-14	-
2	PsudoLabels ResNet-152	93.3	Yes	Out-of-Distribution Detection Without Class Labels	2021-12-14	-
3	PsudoLabels ResNet-18	90.8	Yes	Out-of-Distribution Detection Without Class Labels	2021-12-14	-
4	SCAN Features	90.2	No	Out-of-Distribution Detection Without Class Labels	2021-12-14	-
5	MeanShifted	90	Yes	Mean-Shifted Contrastive Loss for Anomaly Detect...	2021-06-07	Code
6	SSD	89.6	No	SSD: A Unified Framework for Self-Supervised Out...	2021-03-22	Code
7	CSI	89.3	No	CSI: Novelty Detection via Contrastive Learning ...	2020-07-16	Code
8	GOAD	89.2	No	Classification-Based Anomaly Detection for Gener...	2020-05-05	Code
9	MTL	82.92	No	Shifting Transformation Learning for Out-of-Dist...	2021-06-07	-
10	Input Complexity (Glow)	73.6	No	Input complexity and out-of-distribution detecti...	2019-09-25	Code
11	Likelihood (Glow)	58.2	No	Input complexity and out-of-distribution detecti...	2019-09-25	Code
12	Input Complexity (PixelCNN++)	53.5	No	Input complexity and out-of-distribution detecti...	2019-09-25	Code
13	Likelihood (PixelCNN++)	52.6	No	Input complexity and out-of-distribution detecti...	2019-09-25	Code

#1PsudoLabels ViTSOTA
96.7
AUROC· Augmentations· 2021-12-14
Out-of-Distribution Detection Without Class Labels
#2PsudoLabels ResNet-152
93.3
AUROC· Augmentations· 2021-12-14
Out-of-Distribution Detection Without Class Labels
#3PsudoLabels ResNet-18
90.8
AUROC· Augmentations· 2021-12-14
Out-of-Distribution Detection Without Class Labels
#4SCAN Features
90.2
AUROC· 2021-12-14
Out-of-Distribution Detection Without Class Labels
#5MeanShiftedSOTA
90
AUROC· Augmentations· 2021-06-07
Mean-Shifted Contrastive Loss for Anomaly Detection Code
#6SSDSOTA
89.6
AUROC· 2021-03-22
SSD: A Unified Framework for Self-Supervised Outlier Detection Code
#7CSISOTA
89.3
AUROC· 2020-07-16
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Code
#8GOADSOTA
89.2
AUROC· 2020-05-05
Classification-Based Anomaly Detection for General Data Code
#9MTL
82.92
AUROC· 2021-06-07
Shifting Transformation Learning for Out-of-Distribution Detection
#10Input Complexity (Glow)SOTA
73.6
AUROC· 2019-09-25
Input complexity and out-of-distribution detection with likelihood-based generative models Code
#11Likelihood (Glow)
58.2
AUROC· 2019-09-25
Input complexity and out-of-distribution detection with likelihood-based generative models Code
#12Input Complexity (PixelCNN++)
53.5
AUROC· 2019-09-25
Input complexity and out-of-distribution detection with likelihood-based generative models Code
#13Likelihood (PixelCNN++)
52.6
AUROC· 2019-09-25
Input complexity and out-of-distribution detection with likelihood-based generative models Code