Results 11 to 20 of about 4,621,428 (298)
Deep Multi-Semantic Fusion-Based Cross-Modal Hashing
Mathematics, 2022 Due to the low costs of its storage and search, the cross-modal retrieval hashing method has received much research interest in the big data era. Due to the application of deep learning, the cross-modal representation capabilities have risen markedly ...
Xinghui Zhu +3 more
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Interpretation on Multi-modal Visual Fusion. [PDF]
CoRR, 2023 In this paper, we present an analytical framework and a novel metric to shed light on the interpretation of the multimodal vision community. Our approach involves measuring the proposed semantic variance and feature similarity across modalities and ...
Hao Chen 0034 +2 more
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Efficient Multi-Modal Fusion with Diversity Analysis [PDF]
Proceedings of the 29th ACM International Conference on Multimedia, 2021 Multi-modal machine learning has been a prominent multi-disciplinary research area since its success in complex real-world problems. Empirically, multi-branch fusion models tend to generate better results when there is a high diversity among each branch of the model.
Shuhui Qu, Yan Kang 0004, Janghwan Lee
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Multi-Modal Fusion by Meta-Initialization
CoRR, 2022 The first two authors contributed ...
Matthew Thomas Jackson +3 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 Domain Fusion for Multi-modal Aerial View Object Classification
CoRR, 2022 Object detection and classification using aerial images is a challenging task as the information regarding targets are not abundant. Synthetic Aperture Radar(SAR) images can be used for Automatic Target Recognition(ATR) systems as it can operate in all-weather conditions and in low light settings.
Sumanth Udupa +2 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
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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
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