Age Estimation on FG-NET
2.16MAEPML
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PML2021.03 | 2.16 | — | |
| MWR2022.03 | 2.23 | 91.1 | |
| AVDLYear=20202021.03 | 2.32 | — | |
| AVDL2022.03 | 2.32 | — | |
| NRLDYear=20202021.03 | 2.55 | — | |
| BridgeNetYear=20192021.03 | 2.56 | — | |
| BridgeNet2022.03 | 2.56 | 86 | |
| C3AEYear=20192021.03 | 2.95 | — | |
| C3AE2022.03 | 2.95 | — | |
| AGEn2022.03 | 2.96 | 85 | |
| DRFs2017.12 | 3.85 | 0.806 | |
| DRFsYear=20182021.03 | 3.85 | — | |
| DRFs2022.03 | 3.85 | 80.6 | |
| CAM2017.12 | 4.12 | 0.735 | |
| DLA2017.12 | 4.26 | — | |
| DiffoR2026.05 | 4.29 | 87.35 | |
| OHRank2017.12 | 4.48 | 0.744 | |
| DEX2017.12 | 4.63 | — | |
| CA-SVR2017.12 | 4.67 | 0.745 | |
| GoR2026.05 | 4.68 | 85.66 | |
| Human workers2017.12 | 4.7 | 0.695 | |
| CPNN2017.12 | 4.76 | — | |
| DIF2017.12 | 4.8 | 0.743 | |
| MTWGP2017.12 | 4.83 | 0.723 | |
| FaRL2026.05 | 4.95 | 84.52 | |
| Rothe et al.2017.12 | 5.01 | — | |
| LARR2017.12 | 5.07 | 0.689 | |
| OR-CNN2026.05 | 5.09 | 83.8 | |
| Unimodal2026.05 | 5.13 | 83.97 | |
| MetaAgeTraining Database=MORPH II, Cross-database=true2022.07 | 5.25 | — | |
| DLDL2026.05 | 5.26 | 83.83 | |
| DLDLTraining Database=MORPH II, Cross-database=true2022.07 | 5.45 | — | |
| Mean-Var.2026.05 | 5.45 | 83.43 | |
| SORD2026.05 | 5.59 | 82.83 | |
| DEXTraining Database=MORPH II, Cross-database=true2022.07 | 5.73 | — | |
| IIS-LDL2017.12 | 5.77 | — | |
| Rank2017.12 | 5.79 | 0.665 | |
| AGES2017.12 | 6.77 | 0.641 |