Results 11 to 20 of about 97,244 (288)
Optical Flow-Aware-Based Multi-Modal Fusion Network for Violence Detection [PDF]
Entropy, 2022 Violence detection aims to locate violent content in video frames. Improving the accuracy of violence detection is of great importance for security. However, the current methods do not make full use of the multi-modal vision and audio information, which ...
Yang Xiao +3 more
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Multi-modal Embedding Fusion-based Recommender
, 2020 Recommendation systems have lately been popularized globally, with primary use cases in online interaction systems, with significant focus on e-commerce platforms.
Dabrowski, Jacek +7 more
core +2 more sources
MTMF-Grid: A multi-task multi-modal fusion model for operational forecasting and decision support in power grids. [PDF]
PLoS ONEPower grid strategic emerging business investment features multi-objective coupling and multi-source heterogeneous data. It requires simultaneous completion of regression and classification tasks, making traditional single-task or single-modal assessment
Dongyu Zhang +5 more
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YOLO-Based Multi-Modal Weighted Fusion Pedestrian Detection Algorithm [PDF]
Jisuanji gongcheng, 2021 The performance of single-modal pedestrian detection algorithms based on visible images is limited in the cases of insufficient light at night, lack of information caused by target occlusion, and multi-scale targets. In order to improve the robustness of
SHI Zheng, MAO Li, SUN Jun
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Multi-modal Emotion Recognition Based on Dynamic Convolution and Residual Gating [PDF]
Jisuanji gongcheng, 2023 To prevent important information containing emotional cues from being obscured by irrelevant information in discourse and to achieve multi-modal information interaction, a multi-modal emotion recognition model based on dynamic convolution and residual ...
Yanxia GUO, Yong JIN, Hong TANG, Jinzhi PENG
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Multi-Modal Named Entity Recognition Method Based on Multi-Task Learning [PDF]
Jisuanji gongcheng, 2023 With the aim of overcoming the ineffectiveness of traditional multi-modal Named Entity Recognition (NER)methods in integrating text and image modal information and distinguishing confusable entities, a multi-modal NER method based on multi-task learning ...
LI Xiaoteng, ZHANG Panpan, GOU Zhinan, GAO Kai
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CMBF: Cross-Modal-Based Fusion Recommendation Algorithm
Sensors, 2021 A recommendation system is often used to recommend items that may be of interest to users. One of the main challenges is that the scarcity of actual interaction data between users and items restricts the performance of recommendation systems.
Xi Chen +3 more
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Biomolecules, 2023 As the number of modalities in biomedical data continues to increase, the significance of multi-modal data becomes evident in capturing complex relationships between biological processes, thereby complementing disease classification. However, the current
Weidong Xie +4 more
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Multi-Modal Medical Image Fusion With Geometric Algebra Based Sparse Representation
Frontiers in Genetics, 2022 Multi-modal medical image fusion can reduce information redundancy, increase the understandability of images and provide medical staff with more detailed pathological information.
Yanping Li +4 more
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Multi-Sensor Data Fusion Method Based on Self-Attention Mechanism
Applied Sciences, 2023 In 3D reconstruction tasks, single-sensor data fusion based on deep learning is limited by the integrity and accuracy of the data, which reduces the accuracy and reliability of the fusion results. To address this issue, this study proposes a multi-sensor
Xuezhu Lin +5 more
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