Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning
arXiv:2605.11659v1 Announce Type: new
Abstract: Cross-Domain Few-Shot Learning (CDFSL) aims to adapt large-scale pretrained models to specialized target domains with limited samples, yet the few-shot fine-tuning of vision-language models like CLIP rem…