AI RESEARCH
FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model
arXiv CS.AI
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ArXi:2510.10921v3 Announce Type: replace-cross Fine-grained vision-language understanding requires precise alignment between visual content and linguistic descriptions, a capability that remains limited in current models, particularly in non-English settings. While models like CLIP perform well on global alignment, they often struggle to capture fine-grained details in object attributes, spatial relations, and linguistic expressions, with limited for bilingual comprehension. To address these challenges, we.