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细粒度视觉语义(Fine-grained Visual Semantics):视觉编码器可能无法捕捉到图像中的所有细粒度信息,如背景描述、对象计数和对象关系,从而导致幻觉。 模态对齐问题(Modality Alignment Issues): 连接模块的简单性(Connection Module Simplicity):简单的连接模块,如线性层,可能无法充分对齐视觉和文本模态,增加了幻觉的风险。
Language:All Sort:Most stars BradyFU/Awesome-Multimodal-Large-Language-Models Star13.9k ✨✨Latest Advances on Multimodal Large Language Models multi-modalityinstruction-followingin-context-learninglarge-language-modelschain-of-thoughtinstruction-tuningvisual-instruction-tuninglarge-vision-language-modelmultimo...
Towards Open-Ended Visual Recognition with Large Language Model。 开放式视觉识别(Open-Ended Visual Recognition):这部分强调论文的主要研究方向。"开放式"指的是一种灵活的识别方式,不限于固定或预先定义的类别。在视觉识别领域,这通常意味着系统能够识别和理解各种各样的图像内容,包括那些在训练过程中未曾见过的对...
Large Visual Language Model(LVLM), Large Language Model(LLM), Multimodal Large Language Model(MLLM), Alignment, Agent, AI System, Survey - CharlieDDDD/AISurveyPapers
Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia CVPR 2024|July 2023 Publication|PDF|Publication Although perception systems have made remarkable advancements in recent years, they still rely on explicit human instruction or pre-defined categories to identify the target objects before executing visual ...
18 Feb 2024·Yucheng Zhou,Xiang Li,Qianning Wang,Jianbing Shen· In Large Visual Language Models (LVLMs), the efficacy of In-Context Learning (ICL) remains limited by challenges in cross-modal interactions and representation disparities. To overcome these challenges, we introduce a novel Visual ...
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...
DriveVLM接受图像序列作为输入,并通过CoT机制输出场景描述、场景分析和分层规划结果。 DriveVLM-Dual进一步整合了传统的3D感知和轨迹规划模块,以实现空间推理能力和实时轨迹规划。 任务定义 数据集构建 Experiment 使用通义千问的VLM作为BaseModel,参数量总共9.6B (visual encoder 1.9B, llm 7.7B, align 0.08B) ...
1c). These models allow users to perform visual question answering96,97: users can upload an image and ask questions about it, which the model interprets and responds to accordingly. Fig. 1: Overview of domains, tasks, approach and models. a, Example images for the different experiments. ...