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Found 3 papers, 1 papers with code
Generating Photo-Realistic Training Data to Improve Face Recognition Accuracy
In this paper we investigate the feasibility of using synthetic data to augment face datasets.
Face Recognition: From Traditional to Deep Learning Methods
Starting in the seventies, face recognition has become one of the most researched topics in computer vision and biometrics.
Enhancing Convolutional Neural Networks for Face Recognition with Occlusion Maps and Batch Triplet Loss
Despite the recent success of convolutional neural networks for computer vision applications, unconstrained face recognition remains a challenge.
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