Face Verification On Youtube Faces Db
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy |
|---|---|
| sphereface-deep-hypersphere-embedding-for | 95.0% |
| quality-aware-network-for-set-to-set | 96.17% |
| a-light-cnn-for-deep-face-representation-with | 95.54% |
| regressing-robust-and-discriminative-3d | 88.80% |
| arcface-additive-angular-margin-loss-for-deep | 98.02% |
| cosface-large-margin-cosine-loss-for-deep | 97.6% |
| deep-face-recognition | 97.40% |
| facenet-a-unified-embedding-for-face | 95.12% |
| git-loss-for-deep-face-recognition | 95.30% |
| deeply-learned-face-representations-are | 93.2% |
| probabilistic-face-embeddings | 97.36% |
| seqface-make-full-use-of-sequence-information | 98.12% |