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...
The “deep learning” era (2010s until …),促使多模态研究发展的关键促成因素有4个,1)新的大规模多模态数据集,2)GPU快速计算,3)强大的视觉特征抽取能力,4)强大的语言特征抽取能力。 表示学习三篇参考文献 Multimodal Deep Learning [ICML 2011] Multimodal Learning with Deep Boltzmann Machines [NIPS 2012] ...
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...
Using Alzheimer’s disease neuroimaging initiative (ADNI) dataset, we demonstrate that deep models outperform shallow models, including support vector machines, decision trees, random forests, and k-nearest neighbors. In addition, we demonstrate that integrating multi-modality data outperforms single ...
Multimodal Deep Learning Deep networks have been successfully applied to unsupervised feature learning for single modalities (e.g., text, images or audio). In this work, we propose... M Deep,L Library,N Survey - International Conference on Machine Learning 被引量: 4发表: 2011年 Detecting ...
With machine learning (ML) techniques, we introduce a scalable multimodal solution for event detection on sports video data. Recent developments in deep learning show that event detection algorithms are performing well on sports data [1]; however, they’re dependent upon the q...
Visual Attention Methods in Deep Learning: An In-Depth Survey Vision+X: A Survey on Multimodal ...
in breast cancer. The proposed deep learning model trained on all datasets as clinical information, T1-weighted subtraction images, and T2-weighted images shows better performance with area under the curve (AUC) of 0.888 as compared to the model using only clinical information (AUC = 0.827,...
nan 相关学科:Cross-Modal RetrievalVisual Question AnsweringMultimodal Emotion RecognitionMovement PredictionGamma Belief NetworkVideo Emotion RecognitionActivity SegmentationEfficientNetB0nnU-NetHand Gesture Classification 学科讨论 暂无讨论内容,你可以 推荐文献 ...
Current medical image translation is implemented in the image domain. Considering the medical image acquisition is essentially a temporally continuous process, we attempt to develop a novel image translation framework via deep learning trained in video domain for generating synthesized computed tomography (...