Facial Beauty Prediction on LSAFBD (test)
62.13Testing AccuracyER-BLS
Evaluation results
| Method | Links | |
|---|---|---|
| ER-BLS2026.03 | 62.13 | |
| ER-BLSTraining time (s)=2286.542026.03 | 62.13 | |
| LDCNN2026.03 | 62 | |
| Cross Network2026.03 | 61.29 | |
| E-BLS2026.03 | 60.82 | |
| E-BLSTraining time (s)=2300.482026.03 | 60.82 | |
| Noise Labels2026.03 | 60.8 | |
| DeepID22026.03 | 60.25 | |
| DensNet121Training time (s)=19,520.282026.03 | 59.93 | |
| NetA + DAL2026.03 | 59.9 | |
| InceptionV3Training time (s)=25,201.292026.03 | 58.42 | |
| ResNet50Training time (s)=20,014.052026.03 | 58.37 | |
| NIN2026.03 | 58.3 | |
| EfficientNetB7Training time (s)=21,165.612026.03 | 57.91 | |
| InceptionResNetV2Training time (s)=36,853.532026.03 | 57.31 | |
| XceptionTraining time (s)=16,852.602026.03 | 57.01 | |
| Multi-scale K-means2026.03 | 55.07 | |
| MobileNetV2Training time (s)=7830.472026.03 | 54.74 | |
| Deep cascaded forest2026.03 | 54.29 | |
| NASNetTraining time (s)=12,043.952026.03 | 53.12 | |
| BLSTraining time (s)=1446.372026.03 | 52.96 |