Face Recognition On Agedb 30
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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