| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Fine-grained classification | Flower102 (test) | Accuracy97.8 | 40 | |
| Fine-grained classification | Flower102 | Clean Accuracy76.5 | 38 | |
| Image Classification | Flower102 | Accuracy76.5 | 27 | |
| Image Classification | Flower102 | Base Accuracy96.5 | 26 | |
| Image Classification | Flower102 | Average Set Size10.1 | 24 | |
| Fine-grained Image Classification | Flower102 | Accuracy99.19 | 24 | |
| Image Classification | Flower | Accuracy95.84 | 23 | |
| Image Classification | Flower (test) | Accuracy99.45 | 18 | |
| Image Classification | Flower102 | Accuracy99 | 16 | |
| Image Classification | Flower-102 (test) | NLL (N=510)0.54 | 16 | |
| Image Classification | Flower102 | CovGap0.13 | 13 | |
| Image Classification | Flower102 | Clean Accuracy65.6 | 13 | |
| Image Classification | Flower102 | Robust Accuracy37.02 | 13 | |
| Fine-grained Classification | Flower102 | Top-1 Acc98.9 | 13 | |
| Image Classification | Flower102 | Avg Set Size12.5 | 12 | |
| Classification | Flower102 | Accuracy79.6 | 12 | |
| Image Classification | Flower102 | CovGap0.14 | 12 | |
| Spectral Clustering | Flower-20M | Time Cost (s)311.94 | 11 | |
| Clustering | Flower-20M | Cluster Accuracy93.79 | 11 | |
| Multi-view Classification | Flower (test) | Balanced Accuracy0.8633 | 10 | |
| Fine-grained Visual Recognition | Flower-102 (test) | EM96.5 | 9 | |
| Adversarial Image Classification | Flower102 | CW Accuracy54.8 | 8 | |
| Equilibrated reaction prediction | FlowER 19 (original) | Step Accuracy (Top-1)89.74 | 8 | |
| Image Classification | Flower | Top-1 Accuracy70.36 | 7 | |
| Long-tail classification | Flower-LT IF=10 | Accuracy97.8 | 7 |