Prompt Engineering On Sun397
Métriques
Harmonic mean
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Harmonic mean |
|---|---|
| prompt-learning-via-meta-regularization | 80.82 |
| dept-decoupled-prompt-tuning | 81.06 |
| promptkd-unsupervised-prompt-distillation-for | 82.60 |
| conditional-prompt-learning-for-vision | 78.27 |
| consistency-guided-prompt-learning-for-vision | 81.31 |
| learning-hierarchical-prompt-with-structured | 80.88 |
| hpt-hierarchically-prompting-vision-language | 81.11 |
| self-regulating-prompts-foundational-model | 80.52 |
| mmrl-multi-modal-representation-learning-for | 81.20 |
| maple-multi-modal-prompt-learning | 79.75 |
| read-only-prompt-optimization-for-vision | 79.18 |
| learning-transferable-visual-models-from | 72.23 |
| learning-domain-invariant-prompt-for-vision | 80.62 |