✨FG-CLIP: Fine-Grained Visual and Textual Alignment

📝 Summary:
FG-CLIP enhances fine-grained multimodal understanding, overcoming CLIPs limitations with coarse captions. It uses large models for long captions, a high-quality dataset with region boxes and detailed captions, and hard negative samples. FG-CLIP outperforms existing methods on fine-grained and ge...

🔹 Publication Date: Published on May 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2505.05071
• PDF: https://arxiv.org/pdf/2505.05071
• Github: https://github.com/360CVGroup/FG-CLIP

🔹 Models citing this paper:
• https://huggingface.co/qihoo360/fg-clip2-base
• https://huggingface.co/qihoo360/fg-clip-large
• https://huggingface.co/qihoo360/fg-clip-base

✨ Datasets citing this paper:
• https://huggingface.co/datasets/qihoo360/FineHARD
• https://huggingface.co/datasets/qihoo360/DCI-CN
• https://huggingface.co/datasets/qihoo360/DOCCI-CN

✨ Spaces citing this paper:
• https://huggingface.co/spaces/qihoo360/FG-CLIP-Retrieval-demo
• https://huggingface.co/spaces/qihoo360/FG-CLIP-Densefeature-demo
• https://huggingface.co/spaces/qihoo360/FG-CLIP2-Retrieval-demo

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