该系统从指令中提取地标名称(GPT-3从语句中提取地标),通过图像语言模型CLIP将文字形式的地标与图片形式的地标对齐,然后通过视觉导航模型(ViNG)端到端地实现寻的。 LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action...
Large models have forever changed machine learning. From BERT to GPT-3, Vision Transformers to DALL-E, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in...
Artificial writing is permeating our lives due to recent advances in large-scale, transformer-based language models (LMs) such as BERT, GPT-2 and GPT-3. Using them as pre-trained models and fine-tuning them for specific tasks, researchers have extended t
Vision-language pre-trained models. Full fine-tuning. Efficient transfer leaning 3前言知识 3.3. Efficient transfer learning with adapters 在一般形式中,基于适配器的 ETL 方法学习了一组基于预训练特征(v',t'=f_\psi(v,t))的转换,由所谓的适配器 ψ 参数化,它为方程 (1) 之后的新任务生成 softmax ...
4.2. Ablation studies The default Vid2Seq model predicts both text and time tokens, uses both visual frames and transcribed speech as input, builds on the T5-Base language model, and is pre- trained on untrimmed videos from YT-Temporal-1B with both the ge...
Here we present SkinGPT-4, which is an interactive dermatology diagnostic system based on multimodal large language models. We have aligned a pre-trained vision transformer with an LLM named Llama-2-13b-chat by collecting an extensive collection of skin disease images (comprising 52,929 publicly ...
Here we present SkinGPT-4, which is an interactive dermatology diagnostic system based on multimodal large language models. We have aligned a pre-trained vision transformer with an LLM named Llama-2-13b-chat by collecting an extensive collection of skin disease images (comprising 52,929 publicly ...
Learning/acquiring symbolic domain models 利用LLM蕴含的大量知识,将LLM建立为world model或者一个plan critic;但是有证据显示这种model缺乏可靠的(对action effects的)reasoning,在候选的plan中容易发生错误 Language models with access to external tools 例如让LLM调用外部的数学或者逻辑归因的工具,这里作者是调用了外部...
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation 利用大规模预训练视觉基础模型进行标签高效的 3D 点云分割 Paper link:https://arxiv.org/pdf/2311.01989.pdf 摘要:最近,分段任意模型(SAM)和对比语言图像预训练(CLIP)等大规模预训练模型取得了显着的成功...
Software Testing with Large Language Model: Survey, Landscape, and VisionPre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with the ability... J Wang,Y Huang,C Chen,... - 《Arxiv》 被引量: ...