Face Recognition On Agedb 30
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Prodpoly | 0.98467 | Deep Polynomial Neural Networks | |
| DCQ | 0.9823 | Dynamic Class Queue for Large Scale Face Recognition In the Wild | |
| ElasticFace-Cos | 0.9835 | ElasticFace: Elastic Margin Loss for Deep Face Recognition | |
| Transformer loss+ArcFace ResNet100 | 0.9831 | Transformer-Based Auxiliary Loss for Face Recognition Across Age Variations | - |
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