Face Recognition On Casia Webface Masks
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Fine-tuned FaceNet | 88.06 | A realistic approach to generate masked faces applied on two novel masked face recognition data sets | - |
| VGG-Face | 79.65 | Deep Face Recognition | |
| Fine-tuned VGG-Face | 86.85 | A realistic approach to generate masked faces applied on two novel masked face recognition data sets | - |
| Fine-tuned ArcFace | 91.47 | A realistic approach to generate masked faces applied on two novel masked face recognition data sets | - |
| ArcFace | 87.95 | ArcFace: Additive Angular Margin Loss for Deep Face Recognition | - |
| FaceNet | 84.21 | FaceNet: A Unified Embedding for Face Recognition and Clustering | - |
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