Face Verification On Trillion Pairs Dataset
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| HM-Softmax | 34.46 | Training Region-based Object Detectors with Online Hard Example Mining | - |
| Arc-Softmax | 57.45 | ArcFace: Additive Angular Margin Loss for Deep Face Recognition | - |
| SV-AM-Softmax | 72.71 | Support Vector Guided Softmax Loss for Face Recognition | - |
| A-Softmax | 43.76 | SphereFace: Deep Hypersphere Embedding for Face Recognition | - |
| AM-Softmax | 61.61 | Additive Margin Softmax for Face Verification | - |
| F-Softmax | 37.14 | Focal Loss for Dense Object Detection | - |
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