2025
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
ICCV 2025poster
Few-shot learning (FSL) often requires effective adaptation of models using limited labeled data. However, most existing FSL methods rely on entangled representations, requiring the model to implicitly recover the unmixing process to obtain disentangled representations using only limited supervision…