近期在arXiv上发布出一本新的名为《Multimodal Deep Learning》,是德国的一个seminar里,好多人一起整理出来在multimodal领域里对SOTA的综述。全书272页,很综合的对这个方向的工作以及展望进行了完整的阐述,看了下,还可以,开源的书,也是免费的,推荐给大家。书的结构如下: Multimodal Deep Learning 感兴趣的朋友可以去...
multimodaldeeplearningmultimodal深学习 系统标签: multimodallearningdeepmodalitiesavlettersmodality MultimodalDeepLearning JiquanNgiam 1 ,AdityaKhosla 1 ,MingyuKim 1 ,JuhanNam 2 ,HonglakLee 3 ,AndrewY.Ng 1 1 ComputerScienceDepartment,StanfordUniversity {jngiam,aditya86,minkyu89,ang}@cs.stanford.edu 2 Dep...
Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice Despite their immense success as a model of macaque visual cortex, deep convolutional neural networks (CNNs) have struggled to predict activity in visual c... A Xu,Y Hou,C Niell,... - 《Biorxiv...
The success of deep learning has been a catalyst to solving increasingly complex machine-learning problems, which often involve multiple data modalities. We review recent advances in deep multimodal learning and highlight the state-of the art, as well as gaps and challenges in this active research...
4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018 Front Matter Pages 1-1 Download chapterPDF UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang ...
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...
系统标签: multimodal feature fusion representation diagnosis deep HierarchicalfeaturerepresentationandmultimodalfusionwithdeeplearningforAD/MCIdiagnosisHeung-IlSuka,Seong-WhanLeeb,DinggangShena,b,⁎,theAlzheimer'sDiseaseNeuroimagingInitiative1aDepartmentofRadiologyandBiomedicalResearchImagingCenter(BRIC),UniversityofNorth...
In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed not only to extract discriminant features in the multimodal data representati...
Deep Multimodal Representation Learning: A Survey; Wenzhong Guo et al The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges; Maria Lymperaiou et al Augmented Language Models: a Survey; Grégoire Mialon et al Multimodal Deep Learning; Matthias Aßenmacher ...
论文地址:Deep learning in multimodal remote sensing data fusion: A comprehensive review 摘要 随着遥感(RS)技术的飞速发展,大量具有相当复杂异质性的地球观测(EO)数据随处可见,这为研究人员提供了以全新方式解决当前地球科学应用的机会。 近年来,随着地球观测数据的联合利用,多模态遥感数据融合研究取得了巨大进展,但...