Xiangfei Hu

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners

Visual recognition in low-data regimes requires deep neural networks to learn generalized representations from limited training samples. Recently, CLIP-based methods have shown promising few-shot performance benefited from the contrastive language-image pre-training. We then question, if the more di…