Classification on ImageNet C-OOD (class-out-of-distribution)

Metric: Detection AUROC (severity 10) (higher is better)

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#	Model↕	Detection AUROC (severity 10)▼	Augmentations	Paper	Date↕	Code
1	ViT-L/32-384 with Max-logit	0.7748	No	A framework for benchmarking class-out-of-distri...	2023-02-23	Code
2	ViT-L/32-384 with ODIN	0.7635	No	A framework for benchmarking class-out-of-distri...	2023-02-23	Code
3	ViT-L/32-384 with Entropy	0.7332	No	A framework for benchmarking class-out-of-distri...	2023-02-23	Code
4	ViT-L/32-384 with MC Dropout	0.712	No	A framework for benchmarking class-out-of-distri...	2023-02-23	Code
5	ViT-L/32-384 with Softmax	0.7	No	A framework for benchmarking class-out-of-distri...	2023-02-23	Code

#1ViT-L/32-384 with Max-logitSOTA
0.7748
Detection AUROC (severity 10)· 2023-02-23
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet Code
#2ViT-L/32-384 with ODIN
0.7635
Detection AUROC (severity 10)· 2023-02-23
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet Code
#3ViT-L/32-384 with Entropy
0.7332
Detection AUROC (severity 10)· 2023-02-23
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet Code
#4ViT-L/32-384 with MC Dropout
0.712
Detection AUROC (severity 10)· 2023-02-23
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet Code
#5ViT-L/32-384 with Softmax
0.7
Detection AUROC (severity 10)· 2023-02-23
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet Code