| Deep Hybrid Models for Out-of-Distribution Detection | | 100 | 100 | DHM | 2022-01-01 |
| Exploring the Limits of Out-of-Distribution Detection | ✓ Link | 98.11 | | Ensemble of ViTs | 2021-06-06 |
| Exploring the Limits of Out-of-Distribution Detection | ✓ Link | 97.98 | | ViT-L_16 finetuned on CIFAR-100 | 2021-06-06 |
| Exploring the Limits of Out-of-Distribution Detection | ✓ Link | 96.23 | 92.08 | R50+ViT_B-16 finetuned on CIFAR-100 | 2021-06-06 |
| Exploring the Limits of Out-of-Distribution Detection | ✓ Link | 95.53 | 91.89 | ViT_B-16 finetuned on CIFAR-100 | 2021-06-06 |
| Exploring the Limits of Out-of-Distribution Detection | ✓ Link | 95.31 | 90.22 | MLP-Mixer_B-16 finetuned on CIFAR-100 | 2021-06-06 |
| Exploring the Limits of Out-of-Distribution Detection | ✓ Link | 94.68 | | CLIP using class name words describing the two distributions | 2021-06-06 |
| Semi-supervised novelty detection using ensembles with regularized disagreement | ✓ Link | 94.3 | | ERD (ResNet18) | 2020-12-10 |
| Hybrid Models for Open Set Recognition | | 85.6 | | OpenHybrid | 2020-03-27 |
| Open-Set Recognition: a Good Closed-Set Classifier is All You Need? | ✓ Link | 83.2 | | Maximum Logit Score (MLS) | 2021-10-12 |
| Outlier Exposure with Confidence Control for Out-of-Distribution Detection | ✓ Link | 78.7 | 35.2 | WRN 40-2 + OECC | 2019-06-08 |
| Contrastive Training for Improved Out-of-Distribution Detection | | 78.3 | | Joint contrastive and supervised training | 2020-07-10 |
| Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices | ✓ Link | 76.6 | | ResNet + diagonal elements of Gram matrix | 2019-12-28 |
| Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices | ✓ Link | 70.1 | | DenseNet + diagonal elements of Gram matrix | 2019-12-28 |