VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person

Keyphrases

• Single Sample per Person 100%
• Unified Framework 100%
• Prototype Learning 100%
• Representation Learning 100%
• Face Recognition 16%
• Face Image 16%
• Face Database 16%
• Biometrics 16%
• Learning Methods 16%
• Discriminative Representation 16%
• Facial Variation 16%
• Identity Labels 16%
• Performance Degradation 16%
• Multi-task 16%
• Face Identification 16%
• Novel Variation 16%
• Quantitative Evaluation 16%
• Generative Adversarial Networks 16%
• Learning Representations 16%
• Patch-based Learning 16%
• Adversarial Games 16%
• Prototype Representation 16%
• Nuisance 16%
• Generic Learning 16%
• Encoder-decoder 16%
• Practice Variability 16%
• Qualitative Evaluation 16%
• Identity Preserving 16%
• Identity Representation 16%

Computer Science

• Representation Learning 100%
• Unified Framework 100%
• Discriminator 100%
• Face Recognition 33%
• Generative Adversarial Networks 33%
• Enrollment Biometric 33%
• Performance Degradation 33%
• Single Database 33%
• Quantitative Evaluation 33%