Results 11 to 20 of about 4,404,768 (300)
Research on Emotion Classification Based on Multi-modal Fusion [PDF]
مجلة بغداد للعلومNowadays, people's expression on the Internet is no longer limited to text, especially with the rise of the short video boom, leading to the emergence of a large number of modal data such as text, pictures, audio, and video. Compared to single mode data
zhihua Xiang +2 more
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Tracking interacting targets in multi-modal sensors [PDF]
, 2009 PhDObject tracking is one of the fundamental tasks in various applications such as surveillance, sports, video conferencing and activity recognition. Factors such as occlusions, illumination changes and limited field of observance of the sensor make ...
Taj, Murtaza
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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-Modal Image Fusion via Sparse Representation and Multi-Scale Anisotropic Guided Measure
IEEE Access, 2020 The multi-modal image fusion plays an important role in various fields. In this paper, a novel multi-modal image fusion method based on robust principal component analysis (RPCA) is proposed, which consists of low-rank components fusion and sparse ...
Shuai Zhang +5 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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Research and prospect of standard for biometric multi-modal fusion used with mobile devices
Dianxin kexue, 2021 Aiming at the problem of inconsistent biometric multi-modal fusion technology framework for mobile devices and lack of standards, a unified technical framework of multi-modal fusion standards was proposed.Firstly, the current status of standardization ...
Guanchen LIN, Zhifei WANG
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Mutual Complementarity: Multi-Modal Enhancement Semantic Learning for Micro-Video Scene Recognition
IEEE Access, 2020 Scene recognition is one of the hot topics in micro-video understanding, where multi-modal information is commonly used due to its efficient representation ability.
Jie Guo, Xiushan Nie, Yilong Yin
doaj +1 more source
Diagnostics, 2021 Parkinson’s disease (PD) is a common neurodegenerative disease that has a significant impact on people’s lives. Early diagnosis is imperative since proper treatment stops the disease’s progression. With the rapid development of CAD techniques, there have
Yin Dai +6 more
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A Generalized Multi-Modal Fusion Detection Framework
CoRR, 2023 LiDAR point clouds have become the most common data source in autonomous driving. However, due to the sparsity of point clouds, accurate and reliable detection cannot be achieved in specific scenarios. Because of their complementarity with point clouds, images are getting increasing attention.
Leichao Cui +3 more
openaire +2 more sources
Citrus Huanglongbing Detection Based on Multi-Modal Feature Fusion Learning
Frontiers in Plant Science, 2021 Citrus Huanglongbing (HLB), also named citrus greening disease, occurs worldwide and is known as a citrus cancer without an effective treatment. The symptoms of HLB are similar to those of nutritional deficiency or other disease.
Dongzi Yang +13 more
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