Prompt Engineering On Fgvc Aircraft
Métriques
Harmonic mean
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Harmonic mean |
|---|---|
| maple-multi-modal-prompt-learning | 36.50 |
| learning-domain-invariant-prompt-for-vision | 38.24 |
| promptkd-unsupervised-prompt-distillation-for | 45.17 |
| mmrl-multi-modal-representation-learning-for | 41.15 |
| conditional-prompt-learning-for-vision | 27.74 |
| hpt-hierarchically-prompting-vision-language | 41.33 |
| read-only-prompt-optimization-for-vision | 35.70 |
| prompt-learning-via-meta-regularization | 40.25 |
| learning-transferable-visual-models-from | 31.09 |
| self-regulating-prompts-foundational-model | 40.15 |
| dept-decoupled-prompt-tuning | 40.73 |
| consistency-guided-prompt-learning-for-vision | 39.76 |
| learning-hierarchical-prompt-with-structured | 40.28 |