Novel Approach to Few-Shot Classification with Cache-Based Graph Attention
Published:Dec 13, 2025 23:53
•1 min read
•ArXiv
Analysis
This ArXiv paper proposes an advancement in few-shot classification, a critical area for improving AI's efficiency. The approach utilizes patch-driven relational gated graph attention, implying a novel method for learning from limited data.
Key Takeaways
Reference
“The paper focuses on advancing cache-based few-shot classification.”