"[CVPR2026] Language Does Matter for Cross-Domain Few-Shot Visual Feature Promotion"
LDM-CDFSL is a language-guided few-shot visual feature promotion framework designed for effective cross-domain adaptation.
By leveraging semantic knowledge from pre-trained language models, it enhances visual feature representation in low-resource settings across diverse domains, without requiring additional annotations.
🔧 Code is currently under preparation and will be released publicly in the near future.
