Face Recognition On Celeba Masks
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ArcFace | 91.78 | ArcFace: Additive Angular Margin Loss for Deep Face Recognition | - |
| Fine-tuned FaceNet | 93.58 | A realistic approach to generate masked faces applied on two novel masked face recognition data sets | - |
| VGG-Face | 84.56 | Deep Face Recognition | |
| Fine-tuned VGG-Face | 91.51 | A realistic approach to generate masked faces applied on two novel masked face recognition data sets | - |
| FaceNet | 90.96 | FaceNet: A Unified Embedding for Face Recognition and Clustering | - |
| Fine-tuned ArcFace | 95.43 | A realistic approach to generate masked faces applied on two novel masked face recognition data sets | - |
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