Gender Classification on DiveFace (Cross-dataset)
0.83DoBMT + NL + EDL
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MT + NL + EDLMulti-task learning=true, Method=Normalizing Likelihood, Evidential Deep Learning=true2022.08 | 0.83 | 98.37 | 97.43 | |
| MTMulti-task learning=true2022.08 | 0.78 | 98.34 | 97.67 | |
| MT + NLMulti-task learning=true, Method=Normalizing Likelihood2022.08 | 0.77 | 98.4 | 97.52 | |
| Baseline2022.08 | 0.74 | 98.45 | 97.71 | |
| CLIP + MT + NL + EDLBackbone=CLIP, Multi-task learning=true, Method=Normalizing Likelihood, Evidential Deep Learning=true2022.08 | 0.69 | 99.04 | 97.81 | |
| CLIP + LPBackbone=CLIP, Protocol=Linear Probing2022.08 | 0.68 | 99.08 | 97.9 | |
| CLIP + NLBackbone=CLIP, Method=Normalizing Likelihood2022.08 | 0.62 | 99.02 | 98.09 | |
| NL (No LR)Method=Normalizing Likelihood, Learning Rate Ratio=None2022.08 | 0.51 | 98.6 | 98.39 | |
| NL (LR=2)Method=Normalizing Likelihood, Learning Rate Ratio=22022.08 | 0.49 | 98.49 | 98.48 |