Generating photo-realistic training data to improve face recognition accuracy

Keyphrases

• Generative Adversarial Networks 100%
• Photorealistic 100%
• Face Recognition Accuracy 100%
• Synthetic Images 100%
• Training Data 100%
• Training Set 66%
• Convolutional Neural Network 66%
• Face Database 66%
• Face Recognition 33%
• Latent Space 33%
• New Subjects 33%
• Systems-based 33%
• Network Training 33%
• Very Large Datasets 33%
• Facial Image 33%
• Prior Distribution 33%
• Non-identity 33%
• Small Dataset 33%
• Security Enforcement 33%
• Recognition Accuracy 33%
• Accuracy Improvement 33%
• Embedded Networks 33%
• Absolute Accuracy 33%
• Synthetic Data 33%
• Biometrics 33%
• Forensic 33%
• Law Enforcement 33%
• Identity Labels 33%
• Recent Advances 33%

Computer Science

• Recognition Accuracy 100%
• Training Data 100%
• Synthetic Image 100%
• Generative Adversarial Networks 100%
• Face Recognition 100%
• Related Attribute 66%
• Convolutional Neural Network 66%
• Good Performance 33%
• Large Data Set 33%
• facial image 33%
• Biometrics 33%
• Synthetic Data 33%
• Experimental Result 33%