| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | iNaturalist 2018 | Top-1 Accuracy94.6 | 287 | |
| Out-of-Distribution Detection | iNaturalist | FPR@951.8 | 200 | |
| Image Classification | iNaturalist 2018 (test) | Top-1 Accuracy84.5 | 192 | |
| Image Classification | iNaturalist 18 | Overall Accuracy87 | 125 | |
| Image Classification | iNaturalist 2018 (val) | Top-1 Accuracy84.1 | 116 | |
| 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 | |
| Long-tail Image Classification | iNaturalist 2018 (test) | Accuracy (Few)88.3 | 59 | |
| Image Classification | iNaturalist | Accuracy73.8 | 51 | |
| OOD Detection | iNaturalist | AUROC98.05 | 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 | |
| OOD Detection | iNaturalist OOD | AUROC97.87 | 31 | |
| Image Classification | iNaturalist (test) | Accuracy81.2 | 28 | |
| Fine-grained Classification | iNaturalist-19 | Top-1 Error Rate35.33 | 24 | |
| Out-of-Distribution Detection | iNaturalist (test) | FPR@957.3 | 24 | |
| Image Retrieval | iNaturalist (test) | Recall@173.6 | 24 | |
| Image Classification | iNaturalist IR=500 2018 (test) | Accuracy76.9 | 23 | |
| Image Classification | iNaturalist 2019 (test) | Top-1 Accuracy86.577 | 23 | |
| Image Classification | iNaturalist 2017 | Accuracy83.8 | 22 | |
| Image Classification | iNaturalist 2017 | Top-1 Accuracy75.4 | 21 | |
| Image Classification | iNaturalist 2019 (val) | Top-1 Accuracy83.2 | 21 |