AI RESEARCH
1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization
arXiv CS.AI
•
ArXi:2602.00114v2 Announce Type: replace-cross Few-shot learning (FSL) challenges model generalization to novel classes based on just a few shots of labeled examples, a testbed where traditional test-time augmentations fail to be effective. We