Facial Beauty Prediction On Scut Fbp
Metrics
MAE
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| Combined Features + Gaussian Reg | 0.3931 | SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction |
| CNN features + Bayesian ridge regression | 0.2595 | Transferring Rich Deep Features for Facial Beauty Prediction |
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