Table 2 Model performance comparison with age and gender accuracy.
From: Spatial correlation guided cross scale feature fusion for age and gender estimation
Model | Train dataset | Test dataset | Age MAE | Age CS@5 | Gender Acc |
|---|---|---|---|---|---|
VOLO-D1(face and gender) | IMDB-clean | IMDB-clean | 4.29 | 67.71 | 99.38 |
UTKFace | 5.15 | 56.79 | 97.54 | ||
Lagenda test | 5.33 | 57.90 | 90.86 | ||
UTKFace | IMDB-clean | 8.06 | 41.72 | 97.05 | |
UTKFace | 4.23 | 69.78 | 97.69 | ||
Lagenda test | 11.37 | 30.20 | 83.27 | ||
Lagenda train | IMDB-clean | 4.10 | 69.71 | 99.57 | |
UTKFace | 3.82 | 72.64 | 98.87 | ||
Lagenda test | 4.11 | 70.11 | 96.89 | ||
SCGNet | IMDB-clean | IMDB-clean | 4.05 | 69.28 | 99.76 |
UTKFace | 5.01 | 58.33 | 98.25 | ||
Lagenda test | 5.17 | 59.31 | 92.11 | ||
UTKFace | IMDB-clean | 6.92 | 43.56 | 99.12 | |
UTKFace | 4.08 | 71.62 | 98.85 | ||
Lagenda test | 10.18 | 32.09 | 85.08 | ||
Lagenda train | IMDB-clean | 3.85 | 71.55 | 99.65 | |
UTKFace | 4.09 | 73.81 | 99.13 | ||
Lagenda test | 3.98 | 72.72 | 97.32 |
