| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | iNaturalist 2018 | Top-1 Accuracy94.6 | 291 | |
| Out-of-Distribution Detection | iNaturalist | AUROC99.9 | 219 | |
| Image Classification | iNaturalist 2018 (test) | Top-1 Accuracy84.5 | 207 | |
| Image Classification | iNaturalist 18 | Overall Accuracy87 | 125 | |
| Image Classification | iNaturalist 2018 (val) | Top-1 Accuracy84.1 | 116 | |
| Image Classification | iNaturalist OOD (test) | Avg Minority-Group Acc99.06 | 104 | |
| Category-level Retrieval | iNaturalist 2018 | mAP98.6 | 98 | |
| Image Classification | iNaturalist 2019 | Top-1 Acc88.5 | 98 | |
| Long-Tailed Image Classification | iNaturalist 2018 | Accuracy85.2 | 82 | |
| Image Classification | iNaturalist 2021 | Top-1 Accuracy87.3 | 70 | |
| Far Out-of-Distribution Detection | iNaturalist | FPR955.76 | 64 | |
| Image Classification | iNaturalist | Accuracy73.8 | 63 | |
| Long-tail Image Classification | iNaturalist 2018 (test) | Accuracy (Few)88.3 | 59 | |
| OOD Detection | iNaturalist | AUROC99.71 | 52 | |
| Out-of-Distribution Detection | iNaturalist (test) | AUROC98.15 | 44 | |
| OOD Detection | iNaturalist OOD | AUROC99.16 | 40 | |
| Long-tailed Visual Recognition | iNaturalist 2018 (test) | Accuracy75.3 | 39 | |
| Image Classification | iNaturalist 2018 (natural world distribution) | Acc (Total)0.756 | 39 | |
| Image Classification | iNaturalist 2017 (val) | Top-1 Accuracy72.2 | 35 | |
| Image Classification | iNaturalist 2018 (All) | Top-1 Accuracy74.6 | 33 | |
| Far OOD detection | iNaturalist (test) | AUROC98.49 | 32 | |
| Image Classification | iNaturalist (test) | Accuracy81.2 | 28 | |
| Fine-grained Classification | iNaturalist-19 | Top-1 Error Rate35.33 | 24 | |
| Image Retrieval | iNaturalist (test) | Recall@173.6 | 24 | |
| Image Classification | iNaturalist 2017 (test) | Top-1 Accuracy71.7 | 24 |