大型多模态模型(Large Multimodal Model, LMM)将大语言模型扩展到视觉领域。最初的LMM使用整体图像和文本提示词来生成无定位的文本响应。最近,区域级LMM已被用于生成视觉定位响应。然而,它们仅限于一次仅引用单个目标类别,要求用户指定区域,或者不能提供密集的像素目标定位。在这项工作中,我们提出了Grounding LMM (GLaMM...
Incorporating additional modalities to LLMs (Large Language Models) creates LMMs (Large Multimodal Models). Not all multimodal systems are LMMs. For example, text-to-image models like Midjourney, Stable Diffusion, and Dall-E are multimodal but don’t have a language model component. Multimodal ca...
吴恩达大模型系列:使用Gemini进行大型多模态模型提示|Large Multimodal Model Prompting with Gemini 附课件+代码 吴恩达AndrewNg 1914 33 斯坦福大学CS229吴恩达《机器学习2018秋|machine learning》中英字幕(豆包翻译 GPT中英字幕课程资源 9867 1 斯坦福大学《人工智能:原理与技术|CS221: Artificial Intelligence: Princip...
we propose a novel LMM architecture named Lumen, a Large multimodal model with versatile vision-centric capability enhancement. We decouple the LMM's learning of perception capabilities into task-agnostic and task-specific stages. Lumen first promotes fine-grained vision-language concept alignment, which...
A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings. - rohit-gupta/Ovis
3.1. Model Architecture The architecture of GSVA is illustrated in Figure 2, resem- bling LISA [32], which enables high-fidelity segmentation outputs by integrating two types of foundation models: (1) Multimodal Large Language Model (MLLM) as an aligned vision-langua...
3.1 Model Architecture The architecture of TinyLLaVA (Figure 2) consists of a small-scale LLM Fθ, a vision encoder Vφ, and a connector Pϕ, where θ, φ and ϕ are the (learnable) parameters respectively. This architecture can model various multimodal understanding tasks that take as ...
This paper examines the application scenarios and challenges within the railway sector, tailored to its specific needs and grounded in the architecture and technology of multimodal large models.关键词: Industries Large language models Computational modeling Transportation Computer architecture Market research ...
PandaGPT combined the multimodal encoding scheme of ImageBind with the Vicuna LLM to create a LMM which understands data input in these six modalities, but like the other models mentioned so far, is limited to text output only. Image is perhaps the most versatile format for model inputs, as...
A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings. - AIDC-AI/Ovis