Age And Gender Classification
Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.
( Image credit: Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks )
Papers
Showing 26–34 of 34 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ViT-hSeq | Accuracy (5-fold) | 84.91 | — | Unverified |
| 2 | MiVOLO-V2 | Accuracy (5-fold) | 69.43 | — | Unverified |
| 3 | MiVOLO-D1 | Accuracy (5-fold) | 68.69 | — | Unverified |
| 4 | AL-ResNets-34 + IMDB-WIKI | Accuracy (5-fold) | 67.47 | — | Unverified |
| 5 | R-SAAFc2 +IMDB-WIKI | Accuracy (5-fold) | 67.3 | — | Unverified |
| 6 | RoR-34 + IMDB-WIKI | Accuracy (5-fold) | 66.74 | — | Unverified |
| 7 | MWR | Accuracy (5-fold) | 62.6 | — | Unverified |
| 8 | UNIORD-ResNet-101 (single crop, pytorch) | Accuracy (5-fold) | 61 | — | Unverified |
| 9 | RetinaFace + ArcFace + MLP + IC + Skip connections | Accuracy (5-fold) | 60.86 | — | Unverified |
| 10 | CPG (single crop, pytorch) | Accuracy (5-fold) | 57.66 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | MiVOLO-V2 | Accuracy (5-fold) | 97.39 | — | Unverified |
| 2 | ViT-hSeq | Accuracy (5-fold) | 96.56 | — | Unverified |
| 3 | MiVOLO-D1 | Accuracy (5-fold) | 96.51 | — | Unverified |
| 4 | RetinaFace + ArcFace + MLP + Skip connections | Accuracy (5-fold) | 90.66 | — | Unverified |
| 5 | CPG (single crop, pytorch) | Accuracy (5-fold) | 89.66 | — | Unverified |
| 6 | PAENet (single crop, tensorflow) | Accuracy (5-fold) | 89.08 | — | Unverified |
| 7 | Levi_Hassner CNN ( over-sample, caffe) | Accuracy (5-fold) | 86.8 | — | Unverified |
| 8 | Levi_Hassner CNN (single crop, caffe) | Accuracy (5-fold) | 85.9 | — | Unverified |
| 9 | LMTCNN-2-1 (single crop, tensorflow) | Accuracy (5-fold) | 85.16 | — | Unverified |
| 10 | Levi_Hassner CNN (single crop, tensorflow) | Accuracy (5-fold) | 82.52 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Multinomial Naive Bayes (MNB) | F1 score | 0.91 | — | Unverified |