| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Oxford Flowers 102 | Accuracy99.56 | 244 | |
| Image Classification | Oxford Flowers-102 (test) | Top-1 Accuracy99.847 | 221 | |
| Image Retrieval | Oxford Flowers | mAP97.85 | 99 | |
| Image Classification | Oxford 102 Flowers | Top-1 Accuracy99.6 | 94 | |
| Image Classification | Oxford-Flowers | Top-1 Accuracy99.7 | 89 | |
| Image Classification | Oxford Flowers (test) | Accuracy99.65 | 85 | |
| Knowledge Distillation | Oxford Flowers 102 (test) | Accuracy97.25 | 60 | |
| Fine-grained Image Classification | Oxford Flowers | Accuracy97.7 | 49 | |
| Image Classification | Oxford Flowers | Base Accuracy99 | 47 | |
| Fine-grained Image Classification | Oxford Flowers 102 | Accuracy98.9 | 45 | |
| Image Classification | Oxford 102 Flowers (test) | Mean Per-Class Accuracy99.1 | 44 | |
| Fine-grained classification | Oxford Flowers 102 | Accuracy99.69 | 41 | |
| Image Classification | Oxford Flowers 102 | Accuracy99.61 | 32 | |
| Image Classification | Oxford Flowers | Top-1 Accuracy74.03 | 27 | |
| Fine-grained Image Classification | Oxford Flowers (test) | Top-1 Accuracy99.7 | 24 | |
| Few-shot Classification | Oxford Flowers | Accuracy99.48 | 23 | |
| Fine-grained Image Classification | Oxford 102 Flowers (test) | Accuracy99.5 | 23 | |
| Concept Erasure | Oxford Flowers (test) | Aer100 | 21 | |
| Image Classification | Oxford Flowers 102 (FLW) | Accuracy70.07 | 21 | |
| Image Classification | Oxford Flowers | Accuracy97 | 20 | |
| Fine-grained Clustering | Oxford Flowers | NMI94.9 | 19 | |
| Image Generation | Oxford Flowers | FID12.64 | 15 | |
| Image Classification | Oxford Flowers 102 | Base Accuracy98.17 | 13 | |
| Base-to-novel generalization | Oxford Flowers | Base Accuracy98.29 | 13 | |
| Classification | Oxford Flowers 102 | Adversarial Accuracy52.6 | 12 |