MULTI-MODAL

作品数：173被引量：350H指数：9
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相关机构：广东柯内特环境科技有限公司暨南大学沈阳化工大学浙江师范大学更多>>
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Improving VQA via Dual-Level Feature Embedding Network
《Intelligent Automation & Soft Computing》2024年第3期397-416,共20页Yaru Song Huahu Xu Dikai Fang 
Visual Question Answering(VQA)has sparked widespread interest as a crucial task in integrating vision and language.VQA primarily uses attention mechanisms to effectively answer questions to associate relevant visual r...
关键词：Visual question answering multi-modal feature processing attention mechanisms cross-model fusion 
DCRL-KG: Distributed Multi-Modal Knowledge Graph Retrieval Platform Based on Collaborative Representation Learning
《Intelligent Automation & Soft Computing》2023年第6期3295-3307,共13页Leilei Li Yansheng Fu Dongjie Zhu Xiaofang Li Yundong Sun Jianrui Ding Mingrui Wu Ning Cao Russell Higgs 
This work is supported by the Fundamental Research Funds for the Central Universities(Grant No.HIT.NSRIF.201714);Weihai Science and Technology Development Program(2016DX GJMS15);Weihai Scientific Research and Innovation Fund(2020);Key Research and Development Program in Shandong Provincial(2017GGX90103).
The knowledge graph with relational abundant information has been widely used as the basic data support for the retrieval platforms.Image and text descriptions added to the knowledge graph enrich the node information,...
关键词：Multi-modal retrieval distributed storage knowledge graph 
A Multi-Modal Deep Learning Approach for Emotion Recognition
《Intelligent Automation & Soft Computing》2023年第5期1561-1570,共10页H.M.Shahzad Sohail Masood Bhatti Arfan Jaffar Muhammad Rashid 
sponsored by The Superior University,Lahore.
In recent years,research on facial expression recognition(FER)under mask is trending.Wearing a mask for protection from Covid 19 has become a compulsion and it hides the facial expressions that is why FER under the ma...
关键词：Deep learning facial expression recognition multi-model neural network speech emotion recognition SPECTROGRAM covid-19 
Robust Symmetry Prediction with Multi-Modal Feature Fusion for Partial Shapes
《Intelligent Automation & Soft Computing》2023年第3期3099-3111,共13页Junhua Xi Kouquan Zheng Yifan Zhong Longjiang Li Zhiping Cai Jinjing Chen 
In geometry processing,symmetry research benefits from global geo-metric features of complete shapes,but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resoluti...
关键词：Symmetry prediction multi-modal feature fusion partial shapes 
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