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SotA/Computer Vision/Out-of-Distribution Detection/CIFAR-100 vs CIFAR-10

Out-of-Distribution Detection on CIFAR-100 vs CIFAR-10

Metric: AUROC (higher is better)

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#Model↕AUROC▼Extra DataPaperDate↕Code
1DHM100No---
2Ensemble of ViTs98.11YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
3ViT-L_16 finetuned on CIFAR-10097.98YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
4R50+ViT_B-16 finetuned on CIFAR-10096.23YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
5ViT_B-16 finetuned on CIFAR-10095.53YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
6MLP-Mixer_B-16 finetuned on CIFAR-10095.31YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
7CLIP using class name words describing the two distributions94.68YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
8ERD (ResNet18)94.3YesSemi-supervised novelty detection using ensemble...2020-12-10Code
9OpenHybrid85.6NoHybrid Models for Open Set Recognition2020-03-27-
10Maximum Logit Score (MLS)83.2NoOpen-Set Recognition: a Good Closed-Set Classifi...2021-10-12Code
11WRN 40-2 + OECC78.7YesOutlier Exposure with Confidence Control for Out...2019-06-08Code
12Joint contrastive and supervised training78.3NoContrastive Training for Improved Out-of-Distrib...2020-07-10-
13ResNet + diagonal elements of Gram matrix76.6NoDetecting Out-of-Distribution Examples with In-d...2019-12-28Code
14DenseNet + diagonal elements of Gram matrix70.1NoDetecting Out-of-Distribution Examples with In-d...2019-12-28Code