📊 Showing 5 results | 📏 Metric: Detection AUROC (severity 0)
| Rank | Model | Paper | Detection AUROC (severity 0) | Date | Code |
|---|---|---|---|---|---|
| 1 | ViT-L/32-384 with Max-logit | A framework for benchmarking class-out-of-distribution detection and its application to ImageNet | 1.00 | 2023-02-23 | 📦 mdabbah/COOD_benchmarking |
| 2 | ViT-L/32-384 with ODIN | A framework for benchmarking class-out-of-distribution detection and its application to ImageNet | 1.00 | 2023-02-23 | 📦 mdabbah/COOD_benchmarking |
| 3 | ViT-L/32-384 with Entropy | A framework for benchmarking class-out-of-distribution detection and its application to ImageNet | 0.99 | 2023-02-23 | 📦 mdabbah/COOD_benchmarking |
| 4 | ViT-L/32-384 with MC Dropout | A framework for benchmarking class-out-of-distribution detection and its application to ImageNet | 0.99 | 2023-02-23 | 📦 mdabbah/COOD_benchmarking |
| 5 | ViT-L/32-384 with Softmax | A framework for benchmarking class-out-of-distribution detection and its application to ImageNet | 0.99 | 2023-02-23 | 📦 mdabbah/COOD_benchmarking |