Out-of-Distribution Detection on CIFAR-10

Metric: FPR95 (higher is better)

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#	Model↕	FPR95▼	Extra Data	Paper	Date↕	Code
1	WRN 40-2 (MSP Baseline)	34.94	No	Deep Anomaly Detection with Outlier Exposure	2018-12-11	Code
2	WRN 40-2 + Rotation Prediction	16	No	Using Self-Supervised Learning Can Improve Model...	2019-06-28	Code
3	WRN 40-2 + OE	9.5	Yes	Deep Anomaly Detection with Outlier Exposure	2018-12-11	Code
4	Wide ResNet 40x2	3.87	No	RODD: A Self-Supervised Approach for Robust Out-...	2022-04-06	Code
5	ZODE-KNN	3.83	No	Boosting Out-of-Distribution Detection with Mult...	2022-12-24	Code
6	Wide ResNet 40x2	2	Yes	An Effective Baseline for Robustness to Distribu...	2021-05-15	Code
7	DHM	0	No	-	-	-

#1WRN 40-2 (MSP Baseline)SOTA
34.94
FPR95· 2018-12-11
Deep Anomaly Detection with Outlier Exposure Code
#2WRN 40-2 + Rotation Prediction
16
FPR95· 2019-06-28
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Code
#3WRN 40-2 + OE
9.5
FPR95· Extra Data· 2018-12-11
Deep Anomaly Detection with Outlier Exposure Code
#4Wide ResNet 40x2
3.87
FPR95· 2022-04-06
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Code
#5ZODE-KNN
3.83
FPR95· 2022-12-24
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models Code
#6Wide ResNet 40x2
2
FPR95· Extra Data· 2021-05-15
An Effective Baseline for Robustness to Distributional Shift Code
#7DHM
0
FPR95
No paper