Gender Classification on Morph (Cross-dataset)
0.89DoBCLIP + LP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CLIP + LPBackbone=CLIP, Protocol=Linear Probing2022.08 | 0.89 | 0.9946 | 0.9704 | |
| CLIP + MT + NL + EDLBackbone=CLIP, Multi-task learning=true, Method=Normalizing Likelihood, Evidential Deep Learning=true2022.08 | 1.1 | 0.9926 | 0.9633 | |
| CLIP + NLBackbone=CLIP, Method=Normalizing Likelihood2022.08 | 1.39 | 0.9919 | 0.9543 | |
| MT + NL + EDLMulti-task learning=true, Method=Normalizing Likelihood, Evidential Deep Learning=true2022.08 | 6.26 | 0.9632 | 0.7898 | |
| MT + NLMulti-task learning=true, Method=Normalizing Likelihood2022.08 | 6.69 | 0.9621 | 0.7806 | |
| Baseline2022.08 | 7.67 | 0.9626 | 0.7489 | |
| NL (No LR)Method=Normalizing Likelihood, Learning Rate Ratio=None2022.08 | 7.72 | 0.9641 | 0.7484 | |
| NL (LR=2)Method=Normalizing Likelihood, Learning Rate Ratio=22022.08 | 8.99 | 0.9595 | 0.7068 | |
| MTMulti-task learning=true2022.08 | 10.01 | 0.9502 | 0.6997 |