| few-shot-domain-generalization-on-imagenet-sketch | HeBA | #2 | Accuracy: 49.57 |
| prompt-engineering-on-dtd | HeBA | #4 | Harmonic mean: 76.22 |
| prompt-engineering-on-imagenet-a | HeBA | #4 | Top-1 accuracy %: 51.36 |
| prompt-engineering-on-caltech-101 | HeBA | #5 | Harmonic mean: 96.92 |
| prompt-engineering-on-fgvc-aircraft | HeBA | #5 | Harmonic mean: 41.53 |
| prompt-engineering-on-eurosat | HeBA | #6 | Harmonic mean: 88.16 |
| prompt-engineering-on-oxford-102-flower | HeBA | #6 | Harmonic mean: 86.84 |
| prompt-engineering-on-imagenet | HeBA | #7 | Harmonic mean: 74.41 |
| prompt-engineering-on-imagenet-s | HeBA | #7 | Top-1 accuracy %: 49.57 |
| prompt-engineering-on-stanford-cars | HeBA | #7 | Harmonic mean: 77.34 |
| prompt-engineering-on-food-101 | HeBA | #9 | Harmonic mean: 91.10 |
| prompt-engineering-on-sun397 | HeBA | #13 | Harmonic mean: 80.58 |
| prompt-engineering-on-imagenet-v2 | HeBA | #16 | Top-1 accuracy %: 63.55 |
| prompt-engineering-on-imagenet-r | HeBA | #18 | Top-1 accuracy %: 76.56 |
| prompt-engineering-on-oxford-iiit-pet-dataset | HeBA | #18 | Harmonic mean: 96.35 |
| image-classification-on-flowers-102 | HeBA | #65 | Accuracy: 73.04 |