Yuwei Tang

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning

Recently pre-trained vision-language models (e.g. CLIP) have shown great potential in few-shot learning and attracted a lot of research interest. Although efforts have been made to improve few-shot ability of CLIP key factors on the effectiveness of existing methods have not been well studied limiti…