🚀 vit_base_patch16_siglip_384.v2_webli模型卡

本项目为timm库提供了一个SigLIP 2 ViT（仅图像编码器）模型，它等同于来自https://huggingface.co/timm/ViT-B-16-SigLIP2-384 的图像塔。

🚀 快速开始

本模型可直接在timm库中使用，为图像特征提取等任务提供支持。

📚 详细文档

模型详情

引用信息

@article{tschannen2025siglip,
          title={SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features},
          author={Tschannen, Michael and Gritsenko, Alexey and Wang, Xiao and Naeem, Muhammad Ferjad and Alabdulmohsin, Ibrahim and Parthasarathy, Nikhil and Evans, Talfan and Beyer, Lucas and Xia, Ye and Mustafa, Basil and H'enaff, Olivier and Harmsen, Jeremiah and Steiner, Andreas and Zhai, Xiaohua},
          year={2025},
          journal={arXiv preprint arXiv:2502.14786}
        }
        

@inproceedings{zhai2023sigmoid,
          title={Sigmoid loss for language image pre-training},
          author={Zhai, Xiaohua and Mustafa, Basil and Kolesnikov, Alexander and Beyer, Lucas},
          booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
          pages={11975--11986},
          year={2023}
        }
        

📄 许可证

本模型采用Apache-2.0许可证。