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von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
Results show the effectiveness and excellent generalization ability of the proposed approach as it achieves state-of-the-art results on the LFW, YouTube faces and CACD datasets and competitive results on the IJB-A dataset.
DeepVisage: Making face recognition simple yet with powerful generalization skills
Although CNNs are mostly trained by optimizing the softmax loss, the recent trend shows an improvement of accuracy with different strategies, such as task-specific CNN learning with different loss functions, fine-tuning on target dataset, metric learning and concatenating features from multiple CNNs.
Ranked #6 on
Age-Invariant Face Recognition
on CACDVS
