LSFSL: 利用形状信息进行少样本学习（英文版）

英文标题：LSFSL: Leveraging Shape Information in Few-shot Learning中文摘要：LSFSL improves the generalizability and robustness of few-shot learning models by incorporating relevant priors and addressing shortcut learning in deep neural networks.英文摘要：Few-shot learning (FSL) techniques seek to learn the underlying patterns indata using fewer samples, analogous to how humans learn from limitedexperience. In this limited-data scenario, the challenges associated with deepneural networks, such as shortcut learn