Facial attractiveness estimation on SCUT-FBP 20% (test)
0.212MAEDLDL-v2 (ThinAttNet)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DLDL-v2 (ThinAttNet)Model=Thin VGG-162020.07 | 0.212 | 0.273 | 0.93 | |
| LDLVenue=TMM, Year=2017, Model=ResNet-50+GFeats, Feature Fusion=multi-features fusion2020.07 | 0.213 | 0.278 | 0.93 | |
| LDLVenue=TMM, Year=2017, Model=ResNet-502020.07 | 0.217 | 0.3 | 0.917 | |
| DLDL-v2 (TinyAttNet)Model=Tiny VGG-162020.07 | 0.221 | 0.294 | 0.915 | |
| DALDLVenue=CCBR, Year=2019, Model=VGG-162020.07 | 0.227 | 0.312 | 0.903 | |
| R2-ResNeXtVenue=ICPR, Year=2018, Model=ResNeXt2020.07 | 0.242 | 0.305 | 0.896 | |
| MT-ResNetVenue=CDS, Year=2021, Model=ResNet-502020.07 | 0.246 | 0.321 | 0.891 | |
| SLDLVenue=IJCAI, Year=2017, Model=LBP+Hog+Gabor, Evaluation Protocol=ten-fold cross validation2020.07 | 0.302 | 0.408 | — | |
| RegressionVenue=SMC, Year=2015, Model=G+Tfeats2020.07 | 0.393 | 0.515 | 0.648 | |
| CNNVenue=SMC, Year=2015, Model=Six-layer CNN2020.07 | — | — | 0.819 |