Facial Beauty Prediction On Scut Fbp
Métriques
MAE
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | MAE | Paper Title | Repository |
|---|---|---|---|
| CNN features + Bayesian ridge regression | 0.2595 | Transferring Rich Deep Features for Facial Beauty Prediction | |
| Combined Features + Gaussian Reg | 0.3931 | SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction |
0 of 2 row(s) selected.