Aesthetics Quality Assessment On Ava
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| deep-multi-patch-aggregation-network-for | 75.4% |
| Modèle 2 | 68.0% |
| attention-based-multi-patch-aggregation-for | 83.0% |
| photo-aesthetics-ranking-network-with | 77.3% |
| nima-neural-image-assessment | 81.5% |
| composition-preserving-deep-photo-aesthetics | 77.4% |
| a-lamp-adaptive-layout-aware-multi-patch-deep | 82.5% |
| effective-aesthetics-prediction-with-multi | 81.7% |
| deep-aesthetic-quality-assessment-with | 79.1% |