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

Keyphrases

• Transformer 100%
• Feature Fusion 100%
• Self-supervised Features 100%
• Few-shot Learning 100%
• Feature Space 40%
• Transfer Learning 40%
• Unseen 40%
• Few-shot 40%
• Specific Features 20%
• Feature Enhancement 20%
• Benchmark Dataset 20%
• Learning Paradigm 20%
• Feature Extractor 20%
• Training Process 20%
• Metric Basis 20%
• Fusion Technique 20%
• Feature Combination 20%
• Class Level 20%
• Stage Model 20%
• Self-supervised Learning 20%
• Limited Samples 20%
• Few-shot Classification 20%
• Model Weight 20%
• Learning Stages 20%
• Separation Model 20%
• Generalized Representation 20%
• Robust Generalization 20%
• Level Discrimination 20%

Computer Science

• Feature Fusion 100%
• Few-Shot Learning 100%
• Feature Space 50%
• Transfer Learning 50%
• Discriminability 50%
• Image Classification 25%
• Training Process 25%
• Fusion Technique 25%
• Self-Supervised Learning 25%

Psychology

• Discrimination 100%
• Learning Transfer 100%