一、多模态数据的模态不完整性问题 二、多模态数据的处理实时性问题。 三、多模态数据的模态不均衡性问题 四、多模态数据的属性高维性问题 6 结论与展望 关键词解释: 思考: 回到顶部 摘要 1.1、研究背景与意义 多模态数据:同一个对象,描述的方式不同(视角或领域不同),把描述这些数据的每一个领域或者视角叫做一...
View further author informationDezhi LiuView further author informationFengru WangView further author informationtianjj@dpac.org.cnJingjing TianView further author informationShiwu LiView further author information
multimodal data shows strong application potential in behavior recognition and analysis. This paper aims to explore the cutting-edge research of multimodal data and behavior pattern judgment intelligence, focusing on its application in human behavior recognition, classroom teaching behavior analysis and stude...
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons content type paper | research area Computer Vision, research area Methods and Algorithms | Published year 2025 AuthorsAndrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, Devon Hjelm, Zhe Gan, Zsolt Kira,...
Therefore, multimodal information fusion for data-driven emotion recognition has been attracting the attention of researchers in the affective computing filed. This paper reviews the development background and hot spots of the data-driven multimodal emotion information fusion. Considering the real-time ...
Multimodal options for materials research to advance the basis for fusion energy in the ITER era. Nucl. Fusion 53, 104024 (2013). Article ADS Google Scholar Knaster, J. et al. Assessment of the beam–target interaction of IFMIF: a state of the art. Fusion Eng. Des. 89, 1709–1716 (...
Their work leads to more multimodal fusion rumor detection work. In 2018, [101] tried event-level cross-domain learning for the first time to solve the imbalance of rumors in different domains. [66] first proposed a multi-task rumor detection method based on stance detection task. In 2019,...
and improve the data preprocessing technology, multimodal data fusion, and mixed integration of multiple models, and other technical routes are continuously integrated into the deep learning framework, which effectively improves the model generalization ability, multimodal data fusion, and mixed integration ...
Bit rate selection technology of image processing based on artificial intelligence in MPEG-DASH adaptive streaming media Ping Yang, Jinyi Qiao, Minxiu Chen December 2024 Article 101036 View PDF select article One-stop multi-sensor fusion and multimodal precise quantified traditional Chinese med...
(2017). Multimodal sensory fusion for soccer robot self-localization based on long short-term memory recurrent neural network. Journal of Ambient Intelligence and Humanized Computing, 8(6), 885–893. MATH Google Scholar Chen, T. (2014). Research and implement of RoboCup 3D simulation robot. ...