| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Flowers102 | Accuracy99.3 | 478 | |
| Image Classification | Flowers-102 | Top-1 Acc99.7 | 141 | |
| Image Classification | Flowers | Accuracy99.75 | 127 | |
| Image Classification | Flowers-102 (test) | Top-1 Accuracy98.8 | 124 | |
| Image Classification | Flowers (test) | Accuracy98.7 | 87 | |
| Image Classification | Flowers | Accuracy99.2 | 83 | |
| Image Classification | Flowers | Top-1 Acc99.3 | 80 | |
| Image Classification | Flowers102 (test) | Accuracy99.6619 | 68 | |
| Image Classification | Flowers102 | Clean Accuracy84.2 | 49 | |
| Image Classification | Flowers-102 (val) | Top-1 Acc99.76 | 31 | |
| Image Classification | Flowers | Accuracy93.5 | 30 | |
| Base-to-novel generalization | Flowers102 | Base Accuracy99.42 | 29 | |
| Fine-grained Image Classification | Flowers102 (novel classes) | ECE3.51 | 28 | |
| Error Detection | Flowers102 | AuROC99.38 | 27 | |
| Image Classification | Flowers | Mean Per-Class Accuracy96.5 | 27 | |
| Fine-grained Image Classification | Flowers102 base-to-new | Base Accuracy98.4 | 26 | |
| Image Classification | Flowers | Top-1 Error3.44 | 26 | |
| Clustering (Color) | Flowers | NMI72.83 | 24 | |
| Classification | Flowers | AURC22.5 | 23 | |
| Fine-Grained Visual Categorization | Flowers-102 | Accuracy89.9 | 22 | |
| Image Classification | Flowers VTAB | Accuracy96 | 22 | |
| Fine-grained Image Classification | Flowers102 (base classes) | Accuracy97.72 | 19 | |
| Model Selection | Flowers | Weighted Kendall's Tau0.786 | 17 | |
| Clustering (Species) | Flowers | NMI0.6724 | 16 | |
| Retrieval | Flowers | AP@5059.6 | 16 |