Table 3 Comparisons of the age estimation MAE with state-of-the-art models on CLAP2015 dataset.
From: Multi-grained pooling network for age estimation in degraded low-resolution images
Model | MAE | \(\epsilon\)-error | Image size |
|---|---|---|---|
DLDL-V220 | \(3.135^{\dagger }\) | \(0.272^{\dagger }\) | 224\(\times\)224 |
DEX13 | - | \(0.265^{*}\) | 224\(\times\)224 |
AgeED47 | \(3.210^{*}\) | \(0.280^{*}\) | 224\(\times\)224 |
DHAA49 | \(3.052^{*}\) | \(0.265^{*}\) | 224\(\times\)224 |
BridgeNet10 | \(2.870^{*}\) | \(0.255^{*}\) | 224\(\times\)224 |
PML21 | \(2.915^{*}\) | \(0.243^{*}\) | 224\(\times\)224 |
MWR17 | \(2.770^{+}\) | \(0.250^{+}\) | 224\(\times\)224 |
MGP-Net | \({\textbf {3.140}}^{*}\) | \({\textbf {0.276}}^{*}\) | 64\(\times\)64 |
