认为原先的shallow alignment效果不好(如blip-2,llava等),提出了visual expert module用于特征的deep fusion 在10项任务上达到SOTA,效果堪比PaLI-X 55B 分为专家模型和通用模型,后续还会出中文版的 Introduction的碎碎念 shallow alignment定义:类似BLIP-2提出的冻结视觉encoder和LLM,只训练一个映射模块(Q-Former或线性...
3.3 VISUALGROUNDING 为了赋予我们的模型一致且交互式的视觉定位能力,我们收集了一个高质量的数据集,涵盖了4种类型的定位数据:(1)定位说明文字(GC)——图像说明文字数据集,其中说明文字中的每个名词短语后面都有相应的参考边界框;(2)引用表达式生成(REG)——面向图像的数据集,图像中的每个边界框都用描述性文本表达式...
论文见COGVLM: VISUAL EXPERT FOR LARGE LANGUAGE MODELS;代码见THUDM/CogVLM deep fusion: CogVLM 通过在 Frozen Pre-trained Language Model 中的 FFN 和 Self-attention 层中插入 a trainable visual expert module ,深度融合不同模态的特征,指导语言模型的输出。 CogVLM-17B 在 10 个传统跨模态任务上取得了 ...
large-scale datasets such as LAION400M and COYO700M. We employ sample-to-cluster contrastive learning to optimize performance. Our models have been thoroughly validated across various tasks, including multimodal visual large language models (e.g., LLaVA), image retrieval, and image classification....
How will the LLMs improve the visual language models? According to a Microsoft Research Blog, researchers are trying to find a way to use large language models (LLMs) to generate structured graphs for the visual language models. So, to do this, they ask the AI questions, restructure the ...
随着人工智能技术的飞速发展,多模态大语言模型(Multimodal Large Language Models, LLMs)逐渐成为了一个备受瞩目的研究领域。LLMs旨在通过结合文本、图像、音频等多种模态的信息,实现更全面的语义理解和生成能力。在这其中,LlaVA作为一种新兴的多模态大语言模型,凭借其独特的Visual Instruction Tuning技术,为LLMs的发展...
& Hoi, S. BLIP-2: bootstrapping language–image pre-training with frozen image encoders and large language models. In Proc. 40th International Conference on Machine Learning (eds Krause, A. et al.) 19730–19742 (PMLR, 2023). Banerjee, S. & Lavie, A. METEOR: an automatic metric for ...
In-context learning enables multimodal large language models to classify cancer pathology images Article Open access 21 November 2024 Data availability All data in OpenPath are publicly available from Twitter and LAION-5B (https://laion.ai/blog/laion-5b/). The Twitter IDs used for training ...
The Transformer architecture has been a major component in the success of Large Language Models (LLMs). It has been used for nearly all LLMs that are being used today, from open-source models like Mistral to closed-source models like ChatGPT. ...
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding Chat-UniVi：统一视觉表示赋能大型语言模型进行图像和视频理解 论文链接：https://volctracer.com/w/nDJzJ3YE 论文作者：Peng Jin, Ryuichi Takanobu, Wancai Zhang, Xiaochun Cao, Li Yuan 内容简介：这...