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Shancheng Fang

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Open access Aug 2026

RoFLIP: Robust and Fine-Grained Alignment for Vision-Language Compositional Reasoning

The Robust and Fine-grained training framework for CLIP-based vision-language models (RoFLIP) is proposed, enhancing both the robustness and granularity of vision-language alignment and underscore RoFLIP’s compositional reasoning and generalization abilities.

Yiwei Sun, Chuanbin Liu, Shancheng Fang et al. · 0 citations