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

Yuwei Tang, Zhenyi Lin, Qilong Wang +2

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…