| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | Flowers102 | Accuracy99.43 | 558 | |
| Image Classification | Flowers-102 | Top-1 Acc99.7 | 198 | |
| Image Classification | Flowers (test) | Accuracy98.7 | 173 | |
| Image Classification | Flowers-102 (test) | Top-1 Accuracy98.8 | 152 | |
| Image Classification | Flowers | Accuracy99.75 | 127 | |
| Image Classification | Flowers102 (test) | Accuracy99.6619 | 119 | |
| Image Classification | Flowers | Top-1 Acc99.3 | 101 | |
| Image Classification | Flowers | Accuracy99.2 | 86 | |
| Image Classification | Flowers102 | Clean Accuracy84.2 | 49 | |
| Image Classification | Flowers-102 (val) | Top-1 Acc99.76 | 48 | |
| Error Detection | Flowers102 | AuROC99.38 | 46 | |
| Base-to-novel generalization | Flowers102 | Base Accuracy99.42 | 43 | |
| MSI Completion | Flowers 256x256x31 (test) | PSNR45.64 | 35 | |
| Tensor Completion | Flowers 256 x 256 x 31 | PSNR50.13 | 35 | |
| Influential Training Sample Identification | Flowers | Top-5 Identification Rate96.41 | 34 | |
| Partial-label image classification | Flowers (test) | Testing Accuracy89 | 34 | |
| Image Classification | Flowers few-shot | Score (%)95.6 | 32 | |
| Image-to-image retrieval | Flowers | mAP99.4 | 30 | |
| Image Classification | Flowers | Accuracy93.5 | 30 | |
| MSI Completion | Flowers MSI database | PSNR49.717 | 28 | |
| Fine-grained Image Classification | Flowers102 (novel classes) | ECE3.51 | 28 | |
| Fine-grained Image Classification | Flowers102 base-to-new | Base Accuracy98.4 | 28 | |
| Image Classification | Flowers | Mean Per-Class Accuracy96.5 | 27 | |
| Image Classification | Flowers | Top-1 Error3.44 | 26 | |
| Image Classification | Flowers | Accuracy98.99 | 24 |