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

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

Metric: AUROC (higher is better)

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#Model↕AUROC▼Extra DataPaperDate↕Code
1DHM100No---
2R+ViT finetuned on CIFAR-1098.52YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
3ViT finetuned on CIFAR-1098.42YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
4MLP-Mixer finetuned on CIFAR-1097.85YesExploring the Limits of Out-of-Distribution Dete...2021-06-06Code
5ZODE-KNN97.12NoBoosting Out-of-Distribution Detection with Mult...2022-12-24Code
6OpenHybrid95.1NoHybrid Models for Open Set Recognition2020-03-27-
7ERD (ResNet18)95.1YesSemi-supervised novelty detection using ensemble...2020-12-10Code
8Wide 40-2 + OECC94.9YesOutlier Exposure with Confidence Control for Out...2019-06-08Code
9WRN 40-2 + OE93.3YesDeep Anomaly Detection with Outlier Exposure2018-12-11Code
10Isolation Forest on EfficientNet Softmax values91.95NoOut-of-Distribution Detection Using Outlier Dete...2021-08-18Code
11WRN 40-2 + Rotation Prediction90.9NoUsing Self-Supervised Learning Can Improve Model...2019-06-28Code
12WRN 40-2 (MSP Baseline)87.9NoA Baseline for Detecting Misclassified and Out-o...2016-10-07Code
13ResNet + diagonal elements of Gram matrix79.7NoDetecting Out-of-Distribution Examples with In-d...2019-12-28Code