CLIP 模型是 OpenAI 在大规模图像-文本对数据集上通过对比学习方式训练的图文模型,具体论文可以参考 [2103.00020] Learning Transferable Visual Models From Natural Language Supervision,对应的代码库为 GitHub - openai/CLIP: CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet giv...
Please first clone ourrepofrom github by running the following command. git clone https://github.com/beichenzbc/Long-CLIP.gitcdLong-CLIP Then, download the checkpoints of our modelLongCLIP-Band/orLongCLIP-Land place it under./checkpoints ...
代码链接:https://github.com/beichenzbc/Long-CLIP 1.训练方法 一个简单的扩充输入长度、增强长文本能力的方法是先以固定的比率 λ₁ 对位置编码进行插值,再通过长文本进行微调。然而,这种策略会导致CLIP原始能力的急剧退化。前者破坏了CLIP充分建模的相对位置关系,而后者会使CLIP走入另一个极端:从仅仅关注最主要...
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论文名:Long-CLIP: Unlocking the Long-Text Capability of CLIP 论文链接:arxiv.org/pdf/22403.153 开源代码:github.com/beichenzbc/L 引言 对比性语言-图像预训练(CLIP)是一个包含文本编码器和图像编 码器的视觉语言基础模型。它基于对比学习对视觉和语言模态进行对齐, 在下游任务中被广泛采用,例如零样本分类、...
https://github.com/beichenzbc/Long-CLIP —完— 评选报名即将截止! 2024年值得关注的AIGC企业&产品 量子位正在评选2024年最值得关注的AIGC企业、2024年最值得期待的AIGC产品两类奖项,欢迎 报名评选!评选报名截至2024年3月31日 中国AIGC产业峰会「你好,新应用!」已开启报名!点击报名参会 同时,峰会将进行线上直...
Codes and models are released at https://github.com/beichenzbc/Long-CLIP .Zhang, BeichenShanghai Jiao Tong UniversityZhang, PanShanghai AI LaboratoryDong, XiaoyiThe Chinese University of Hong KongZang, YuhangShanghai AI LaboratoryWang, Jiaqi...
节点下载地址:https://github.com/zer0int/ComfyUI-Long-CLIP注意以前装过SeaArtLab的LongClip需要先卸载!!否则无法使用的!!新节点支持1.5,XL以及Flux模型下载地址:链接:https://pan.baidu.com/s/12vbBenc8K-4yoYhVVlBwnw 提取码:ktg2 文件放到:comfyui/models/cl
To set up the Next.js project, clone thestarter project. This starter project contains the styles for the app so you can focus on building the core functionality. Clone the repo using the command below: Copy to clipboardgit clone https://github.com/folucode/video-snipping-tool-starter.git...
You can also find the complete code implementation in this GitHub repository. Set Up the Next.js App Copy link to this heading To set up the Next.js project, clone the starter project. This starter project contains the styles for the app so you can focus on building the core ...