Adaptive Convolution Local and Global Learning for Class-Level Joint Representation of Facial Recognition with a Single Sample per Data Subject

Keyphrases

• Adaptive Convolution 100%
• Class Level 100%
• Convolution Feature 60%
• Facial Features 60%
• Facial Identity 20%
• Facial Recognition 100%
• Facial Variation 60%
• Global Learning 100%
• High Efficiency 20%
• High Robustness 20%
• Intra-class Variation 20%
• Joint Representation 100%
• Local Learning 100%
• Multi-PIE 20%
• Novel Class 20%
• Popular 20%
• Representation Framework 20%
• Sampling Variation 20%
• Single Sample 100%
• Specific Features 20%
• State-of-the-art Techniques 20%
• Training Phase 20%
• Training Samples 20%
• VGG-Face 20%

Computer Science

• Distinctiveness 33%
• Experimental Result 33%
• Face Recognition 100%
• Facial Feature 100%
• Training Phase 33%
• Training Sample 33%