AINeutralarXiv – CS AI · 10h ago6/10
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Concept-Constrained Prompt Learning for Few-Shot CLIP Adaptation
Researchers introduce Concept-Constrained Prompt Learning (CCPL), a regularization framework that improves CLIP's adaptation to new tasks by anchoring learnable prompts to frozen concept prototypes. The method demonstrates notable performance gains on certain datasets while maintaining stronger generalization to unseen classes compared to existing approaches.