1、External multi-modal imaging sensor calibration for sensor fusion: A review 2、Provable Dynamic Fusion for Low-Quality Multimodal Data 3、SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection 4、FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer fo...
另一篇文献(multimodal fusion method based on self-attention machanism)表示, Abstract: 大部分呢研究都使用张量的多模态表示,随着输入转换为张量,维度和计算复杂度呈指数增长。于是她们提出一种具有注意力机制的低秩张量多模态融合方法。提高效率并降低计算复杂度。公共数据集:CMU-MOSI、IEMOCAP和POM。模型在捕获全局和...
In view of the above characteristics of multimodal data and the shortcomings of existing multimodal fusion algorithms, this chapter studies the multimodal data fusion algorithms from four aspects: incomplete modal analysis fusion, incremental modal clustering fusion, heterogeneous modal migration fusion and ...
5、作者提出的解决方法 提出基于深度语义匹配的不完整多模态数据融合算法,利用多模态高层语义的相关,设计融合模态私有深度网络和模态共享特征的统一深度学习模型。此外,基于模态的空间几何特性,设计模态局部不变图规则化因子,耦合多模态深度共享特征和原始模态特征。利用坐标下降、反向传播等优化算法对整个模型进行优化更新,...
et al. Multimodal data fusion of adult and pediatric brain tumors with deep learning. Preprint at medRxiv https://doi.org/10.1101/2022.09.21.22280223 (2022). Simon, G. et al. Hover-Net: simultaneous segmentation and classification of nuclei in multi-tissue histology images. Med. Image Anal....
图1：胃肠病学报告示例，其中对齐的图像和报告用不同颜色标记，医学术语知识用红色下划线表示。已有工作的...
A Survey on Deep Learning for Multimodal Data Fusion With the wide deployments of heterogeneous networks, huge amounts of data with characteristics of high volume, high variety, high velocity, and high veracity are generated. These data, referred to multimodal big data, contain abundant in... J...
We are proposing a new method to eliminate the random error in data acquired from different techniques and move closer to the ground truth of the data using multimodality dataset fusion. A non rigid registration method is used to register and fuse the volume data obtained from transrectal-...
The first question is motivated by numerous examples in science and technology, followed by a mathematical framework that showcases some of the benefits that data fusion provides. In order to address the second question, "diversity" is introduced as a key concept, and a number of data-driven ...
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...