SFT: Few-Shot Learning via Self-Supervised Feature Fusion With Transformer

Keyphrases

• Transformer 100%
• Feature Fusion 100%
• Self-supervised Features 100%
• Few-shot Learning 100%
• Transfer Learning 50%
• Feature Space 50%
• Unseen 50%
• Few-shot 50%
• Specific Features 25%
• Fusion Technique 25%
• Feature Enhancement 25%
• Benchmark Dataset 25%
• Learning Paradigm 25%
• Feature Extractor 25%
• Stage Model 25%
• Class Level 25%
• Training Process 25%
• Metric Basis 25%
• Feature Combination 25%
• Limited Samples 25%
• Self-supervised Learning 25%
• Few-shot Classification 25%
• Model Weight 25%
• Learning Stages 25%

Computer Science

• Feature Fusion 100%
• Few-Shot Learning 100%
• Feature Space 66%
• Transfer Learning 66%
• Discriminability 66%
• Image Classification 33%
• Fusion Technique 33%
• Training Process 33%
• Self-Supervised Learning 33%

Psychology

• Learning Transfer 100%