LSFSL: 利用形状信息进行少样本学习

Apr, 2023

LSFSL: 利用形状信息进行少样本学习

LSFSL: Leveraging Shape Information in Few-shot Learning

Deepan Chakravarthi Padmanabhan, Shruthi Gowda, Elahe Arani, Bahram Zonooz

TL;DRLSFSL improves the generalizability and robustness of few-shot learning models by incorporating relevant priors and addressing shortcut learning in deep neural networks.

Abstract

few-shot learning (FSL) techniques seek to learn the underlying patterns in data using fewer samples, analogous to how humans learn from limited experience. In this limited-data scenario, the challenges associated with