Otter, a multi-modal model with in-context instruction tuning based on OpenFlamingo MultI-Modal In-Context Instruction Tuning (MIMIC-IT) dataset 主要是涉及到两点: (1)image-instruction-answer triplets 的构建,这里使用了三类数据集: QA:VQAv2, GQA, visual instruction dataset: LLAVA dataset video ...
Table 3 Comparison of multi-modal and single modal model. Full size table In Table 3, the accuracy of LResNet-LSTM-SVM improved by 22.94%, 16.22%, 23.38%, 4.33%, 2.55%, 4.72%, 3.72%, 1.83%, 1.61% and 1.50%, respectively, over the comparison model. Compared with GRU, the model’...
Multi-Modal In-Context Instruction Tuning 每个样本包含 queried 图片-指令-回答三元组:instruction和answer是和图片相关的 context:从MMC4获取的image-instruction-answer triplets,和query三元组 三元组来源 VQA数据集:VQAv2 and GQA 视觉指令数据集:LLaVA PVSG repository 做法:每个视频抽4-8帧,参考LLaVA数据集 ...
Moonshot AI's co-founder, Zhou Xinyu, said that the company is set to launch its proprietary multimodal large model within the year, alongside rapid progress in commercialization efforts. Moonshot AI, founded in March 2023, has quickly become a key player in the domestic large model field. Its...
MIMIC-IT: Multi-Modal In-Context Instruction Tuning arXiv 2023-06-08 Github Demo M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning arXiv 2023-06-07 - - Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding arXiv 2023-06-05 Githu...
With the extensive use of smart-phone applications and online payment systems, more travelers choose to participate in ridesharing activities. In this paper, a multi-modal route choice model is proposed by incorporating ridesharing and public transit in a single-origin-destination (OD)-pair network....
我国研发的全球首个多模态地理科学大模型“坤元”近日在京发布。“坤元”由中国科学院地理科学与资源研究所、中国科学院青藏高原研究所、中国科学院自动化研究所等单位共同研发。A geographic sciences multi-modal Large Language Model, the first of its kind in the world, was unveiled in Beijing. The model, ...
The proposed solution was compared with various multi-modal learning methods that used only CNNS. The methods consist of two models. The first model is deep CNN such as ResNet50, EfficientNetB7, or DenseNet201 pre-trained on ImageNet 2012. The pre-trained CNNs were used for feature extracti...
[EMNLP 2023] Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. [EMNLP 2023] A Simple Baseline for Knowledge-Based Visual Question Answering. [EMNLP 2023] MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Que...
多模态大型模型(Multi-modal Large Models): 利用预训练的视觉编码器和文本解码器进行多模态任务,如多模态对话模型。 特定数据集的相关工作: LAION-400M: 一个大规模的图像-文本配对数据集。 MMC4和OBELICS: 交错图像-文本数据集。 特定任务的预训练方法: ...