Multimodal fusion learning opens up new avenues for tasks in deep learning, making them more scientific and human in their approach to solving many real-world problems. An important challenge confronting multimodal learning today is how to efficiently facilitate the fusion of multimodal features while ...
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...
3.2.1 MKL (Multiple Kernel Learning) [47] This model employs a multiple kernel learning approach to facilitate the fusion of multimodal information. It utilizes distinct kernel functions to represent the diverse modal information and dynamically selects an optimal combination of these functions by opti...
This chapter provided an overview ofmulti-modal fusiontechniques in camera networks, relating them to the architectural potentialities, limitations, and requirements that can arise in system design. Moreover, the advantages of integrating visual cues with complementary and redundant information collected by...
This paper reviews current research on routing protocols and Machine Learning (ML) approaches applied to FANETs, emphasizing developments… More > View 505 Download 204 Open Access REVIEW An Overview of LoRa Localization Technologies CMC-Computers, Materials & Continua, Vol.82, No.2, pp. ...
1An Attention-based Multi-Scale FeatureLearning Network for Multimodal Medical ImageFusionMeng Zhou, Xiaolan Xu, and Yuxuan ZhangAbstract—Medical images play an important role in clinical applications. Multimodal medical images could provide rich informationabout patients for physicians to diagnose. The ...
An overview of statistical learning theory. IEEE Trans Neural Netw. 1999;10(5):988–99. https://doi.org/10.1109/72.788640. Article CAS PubMed Google Scholar Wang YH. Traditional uses, chemical constituents, pharmacological activities, and toxicological effects of Dendrobium leaves: a review. J ...
Illustration of proposed P-TransUnet and its details. a is the detailed diagram of improved-transformer, b is the detailed diagram of P-transformer, c is the detailed diagram of GLF modules, and d is the overall architecture of P-TransUnet Full size image Overview of the P-TransUNet As show...
Experiments on the VIPL-HR dataset, which contains rich challenges, demonstrated that the RMSE of Fusion ViViT reached 14.86, outperforming SLF-RPM (RMSE of 16.59). Interestingly, the use of contrastive learning with transformer did not result in overfitting. With prior knowledge: Unsupervised ...
The performance benefit of multimodal learning varied based on the study. [87] did not observe any benefit over histopathology alone for predicting the sentinel lymph node status; they hypothesized that the CNN learns known correlating attributes, which are redundant in the multimodal setting. Moreove...