Gender Classification on UTKFace Cross-dataset
1.6DoBCLIP + NL
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CLIP + NLBackbone=CLIP, Method=Normalizing Likelihood2022.08 | 1.6 | 96.47 | 94.59 | |
| CLIP + LPBackbone=CLIP, Protocol=Linear Probing2022.08 | 1.86 | 96.58 | 92.91 | |
| Baseline2022.08 | 1.96 | 94.67 | 92.6 | |
| CLIP + MT + NL + EDLBackbone=CLIP, Multi-task learning=true, Method=Normalizing Likelihood, Evidential Deep Learning=true2022.08 | 2.04 | 96.52 | 92.85 | |
| NL (No LR)Method=Normalizing Likelihood, Learning Rate Ratio=None2022.08 | 2.26 | 94.76 | 91.55 | |
| MT + NL + EDLMulti-task learning=true, Method=Normalizing Likelihood, Evidential Deep Learning=true2022.08 | 2.27 | 94.5 | 91.53 | |
| MT + NLMulti-task learning=true, Method=Normalizing Likelihood2022.08 | 2.31 | 94.47 | 90.91 | |
| NL (LR=2)Method=Normalizing Likelihood, Learning Rate Ratio=22022.08 | 2.55 | 94.54 | 90.11 | |
| MTMulti-task learning=true2022.08 | 3.01 | 94.25 | 88.89 |