2026
b-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment
CVPR 2026
CLIP achieves strong zero-shot image-text retrieval by aligning global vision and text representations, yet it falls behind on fine-grained tasks even when fine-tuned on long, detailed captions. In this work, we propose b-CLIP, a multi-granular text-conditioned contrastive learning framework designe