Image2text 多模态大模型文章速读 BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models 动机:更好的应用冻结住的图像和文字encoder,实现轻量化的训练。 方法:双阶段的训练。第一阶段从frozen的image encoder训练Querying-former。第二阶段从冻结的LLM引导视觉语言...
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2.5 BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation (ICML 2022)【混流模型】 保留了ALBEF的ITC和ITM预训练任务,而把MLM任务替换成了LM图像描述生成任务,进行更充分的跨模态交互。并且,它将三个任务所需的text encoder和text decoder进行了合并,相同的结构...
MULTIFUSION 为多模式和多语言输入的任意组合提供了强大而灵活的界面。扩展的提示功能产生了更具表现力的...
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Bootstrap是一个流行的前端开发框架,它提供了一套用于构建响应式网站和Web应用程序的CSS和JavaScript组件。在Bootstrap中,col-sm-6是一个CSS类,用于定义一个占据一半宽度的列。Image resize div是一个描述,可能是指将图像调整大小并放置在一个div容器中。
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BLIP-2 (Bootstrapping Language-Image Pre-training) is an AI model that can perform various multi-modal tasks like visual question answering, image-text retrieval (image-text matching) and image captioning. It can analyze an image, understand its content, and generate a relevant and concise capt...
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation BLIP是引导语言图像预训练,实现统一的视觉语言理解和生成 https://github.com/salesforce/BLIP 输入图像images,输出字母caption,就可以构造图文数据集 ...
[1] Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation, arXiv:2201.12086. [2] Learning transferable visual models from natural language supervision,Proc. of ICML, 2021. [3] Style transfer from non-parallel text by cross-alignment, Advances in ...