LVLM(Large Vision-Language Models)中的幻觉问题是指模型生成的文本内容与实际视觉输入之间存在不一致性。为了缓解这一问题,研究者们提出了多种方法,这些方法主要针对幻觉产生的原因进行优化。以下是一些关键的缓解策略: 数据优化:通过改进训练数据来减轻幻觉。 偏见缓解(Bias Mitigation):通过使用对比性指令调整(CIT)和...
1. 资源 论文题目:VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks 论文链接:proceedings.neurips.cc/ 论文代码:github.com/OpenGVLab/Vi 论文引用(BibTex): @article{wang2024visionllm, title={Visionllm: Large language model is also an open-ended decoder for vi...
✨✨Latest Advances on Multimodal Large Language Models multi-modality instruction-following in-context-learning large-language-models chain-of-thought instruction-tuning visual-instruction-tuning large-vision-language-model multimodal-instruction-tuning large-vision-language-models multimodal-large-language...
Large language models (LLMs) have notably accelerated progress towards artificial general intelligence (AGI), with their impressive zero-shot capacity for user-tailored tasks, endowing them with immense potential across a range of applications. However, in the field of computer vision, despite the ...
《MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models》论文学习 最新的GPT-4展示了非凡的多模态能力,例如直接从手写文本生成网站和识别图像中的幽默元素。这些特性在以往的视觉-语言模型中很少见。然而,GPT-4背后的技术细节仍然未公开。我们认为,GPT-4增强的多模态生成能力源自于...
DRIVEVLM: The Convergence of Autonomous Driving and Large Vision-Language Models DriveVLM 时间:24.02 机构:Tsinghua University && Li Auto 当前自动驾驶落地的主要难点是解决各种长尾的复杂路况。本文提出DriveVLM算法,利用VLM来增强智驾的场景描述、场景分析、层级规划能力,同时为了克服VLM计算量大的问题,又提出...
Vision language models (VLMs) combinemachine visionand semantic processing techniques to make sense of the relationship within and between objects in images. In practice, this means combining various visual machine learning (ML) algorithms with transformer-based large language models (LLMs). Current ...
LLM responses that did not include an answer were discarded and the model was re-prompted until an answer was given. Performance was calculated via comparison with the correct answer provided in the original source and accuracy was calculated. To analyze the effects of large language model ...
Large Vision Language Models (LVLMs) such as LLaVA have demonstrated impressive capabilities as general-purpose chatbots that can engage in conversations about a provided input image. However, their responses are influenced by societal biases present in their training datasets, leading to undesirable ...
A vision model capable of “perceiving” visual scenes. A large language model tasked with performing basic reasoning. Novel architecture components integrate these models in a way that retains the knowledge gained during their computationally intensive pre-training. In addition, Flamingo models feature ...