Facial Beauty Prediction On Scut Fbp
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MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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 |
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