Results 11 to 20 of about 88,926 (217)
Multi-Modal Residual Perceptron Network for Audio–Video Emotion Recognition
Sensors, 2021 Emotion recognition is an important research field for human–computer interaction. Audio–video emotion recognition is now attacked with deep neural network modeling tools.
Xin Chang, Władysław Skarbek
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Multi‐modal object detection via transformer network
IET Image Processing, 2023 According to the fact that single‐modal data usually contain limited information, a great deal of effort has been devoted to making use of the complementary information contained in the multi‐modal data on various patterns.
Wenbing Liu +3 more
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Multi‐modal broad learning for material recognition
Cognitive Computation and Systems, 2021 Material recognition plays an important role in the interaction between robots and the external environment. For example, household service robots need to replace humans in the home environment to complete housework, so they need to interact with daily ...
Zhaoxin Wang +3 more
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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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Adaptive physics-informed neural networks for underwater acoustic field predictiona) [PDF]
JASA Express LettersThis paper introduces an adaptive physics-informed neural network for predicting underwater pressure fields. A gradient-based adaptive weighting method is proposed to address the imbalance between physics-constrained and data-fidelity terms, effectively ...
Zhengyi Li, Ting Zhang, Lei Cheng
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Affective Computing: Recent Advances, Challenges, and Future Trends
Intelligent ComputingAffective computing is a rapidly growing multidisciplinary field that encompasses computer science, engineering, psychology, neuroscience, and other related disciplines.
Guanxiong Pei +5 more
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Uncertainty quantification in stochastic ocean acoustic propagation using physics-informed neural network [PDF]
AIP AdvancesUncertainty in ocean acoustic field modeling propagates sequentially from stochastic ocean environments to the acoustic field, ultimately degrading the performance of underwater acoustic applications such as communication, target detection, and ocean ...
A. Jie Duan, B. Hangfang Zhao
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Bioinspired Hierarchical Ceramic Sutures for Multi‐Modal Performance
Advanced Materials Interfaces, 2023 Natural suture structures, characterized by hard segments joined along a patterned weak interface, are found to provide unique toughening mechanisms for brittle bulk biological materials.
Zachary Katz +3 more
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GFFNet: Global Feature Fusion Network for Semantic Segmentation of Large-Scale Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSemantic segmentation plays a pivotal role in interpreting high-resolution remote sensing images (RSIs), where contextual information is essential for achieving accurate segmentation.
Yong Cao +3 more
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IEEE Access, 2020 Multi-modal sentiment analysis extends conventional text-based definition of sentiment analysis to a multi-modal setup where multiple relevant modalities are leveraged to perform sentiment analysis.
Dong Zhang +3 more
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