Table 1 Model performance comparison.
From: Spatial correlation guided cross scale feature fusion for age and gender estimation
Model | Train Dataset | Test Dataset | Age MAE | Age CS@5 |
|---|---|---|---|---|
FP-Age14 | IMDB-clean | IMDB-clean | 4.68 | 63.78 |
CORAL46 | UTKFace | UTKFace | 5.39 | – |
Randomized Bins47 | UTKFace | UTKFace | 4.55 | – |
MWR36 | UTKFace | UTKFace | 4.37 | – |
VOLO-D1(face) | IMDB-clean | IMDB-clean | 4.29 | 67.71 |
UTKFace | 5.28 | 56.79 | ||
Lagenda test | 5.46 | 57.90 | ||
UTKFace | IMDB-clean | 8.59 | 37.96 | |
UTKFace | 4.23 | 69.72 | ||
Lagenda test | 11.16 | 30.51 | ||
Lagenda train | IMDB-clean | 4.13 | 69.33 | |
UTKFace | 3.90 | 72.25 | ||
Lagenda test | 4.19 | 69.36 | ||
SCGNet | IMDB-clean | IMDB-clean | 4.15 | 69.33 |
UTKFace | 5.02 | 59.51 | ||
Lagenda test | 5.11 | 60.18 | ||
UTKFace | IMDB-clean | 8.37 | 39.62 | |
UTKFace | 4.08 | 72.01 | ||
Lagenda test | 10.93 | 32.65 | ||
Lagenda train | IMDB-clean | 4.01 | 71.21 | |
UTKFace | 3.72 | 74.33 | ||
Lagenda test | 3.98 | 71.59 |
