多模态深度学习(英文名:Multimodal Deep Learning)是人工智能(AI)的一个子领域,其重点是开发能够同时处理和学习多种类型数据的模型。这些数据类型,或称模态,可以包括文本、图像、音频、视频和传感器数据等。通过结合这些不同的模式,多模态深度学习旨在创建更强大和多功能的人工智能系统,能够更好地理解、解释复杂的现实...
SHAP is a unified framework for interpreting machine learning models which estimates the contribution of each feature by averaging over all possible marginal contributions to a prediction task23. Though initially developed for game theory applications48, this approach may be used in deep learning-based ...
Multimodal Deep Learning 🎆 🎆 🎆 Announcing the multimodal deep learning repository that contains implementation of various deep learning-based models to solve different multimodal problems such as multimodal representation learning, multimodal fusion for downstream tasks e.g., multimodal sentiment analy...
In this study, the deep-learning approach was applied to the multimodal fusion at the feature level for municipal solid-waste sorting. More specifically, the pre-trained VGG16 and one-dimensional convolutional neural networks (1D CNNs) were utilized to extract features from visual data and ...
MultimodalDeepLearningJiquanNgiam1,AdityaKhosla1,MingyuKim1,JuhanNam2,HonglakLee3,AndrewY.Ng11ComputerScienceDepartment..
Internal cross validation results for individual data modality to predict Alzheimer’s stage (a) Imaging results: deep learning prediction performs better than shallow learning predictions (b) EHR results: deep learning outperforms shallow models kNN and SVM and is comparable to decision trees and ran...
https://github.com/salesforce/LAVIS/tree/main/projects/blip2BLIP2的包 在23 年 2 月份刚面世时在多个任务中取得 SOTA 其他多模态大模型路线: Mini GPT-4将视觉编码器 BLIP-2 和大模型 Vicuna 进行结合训练,产生了许多类似于 GPT-4 中展示的新兴视觉语言能力。
We propose two deep learning-based methods for jointly utilizing satellite and street level imagery for measuring urban inequalities. We use London as a case study for three selected outputs, each measured in decile classes: income, overcrowding, and environmental deprivation. We compare the ...
nlp machine-learning natural-language-processing tutorial deep-neural-networks computer-vision deep-learning transformers generative-model multimodal mlops stable-diffusion Updated Apr 22, 2024 Python TEN-framework / ten-framework Star 6k Code Issues Pull requests Discussions Open-source framework and...
This paper presents a new multimodal deep learning framework for event detection from videos by leveraging recent advances in deep neural networks. First, several deep learning models are utilized to extract useful information from multiple modalities. Among these are pre-trained Convolutional Neural ...