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检索条件"机构=Key Laboratory of Data Analysis and Image Processing"
817 条 记 录,以下是21-30 订阅
排序:
Multi-modal sentiment recognition with residual gating network and emotion intensity attention
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Neural Networks 2025年 188卷 107483页
作者: Wang, Yadi Guo, Xiaoding Hou, Xianhong Miao, Zhijun Yang, Xiaojin Guo, Jinkai School of Computer and Information Engineering Henan University Kaifeng475004 China Henan Key Laboratory of Big Data Analysis and Processing Kaifeng475004 China
Multimodal emotion recognition focuses on the prediction of emotions using text, visual and acoustic modalities, and some results have been generated in this field. Previous approaches fall short in two aspects, one i... 详细信息
来源: 评论
Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing images
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025年 18卷 12090-12102页
作者: Zhang, Yuhang Zhang, Wuxia Ding, Songtao Wu, Siyuan Lu, Xiaoqiang Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing School of Computer Science and Technology Xi'an710121 China Xi'an University of Technology College of Computer Science and Engineering Shaanxi Xi'an710048 China Fuzhou University College of Physics and Information Engineering Fuzhou350002 China
Semantic Change Detection (SCD) in Remote Sensing images (RSI) aims to identify changes in the type of Land Cover/Land Use (LCLU) corresponding to changed areas in RSI. The "from-to" information of the acqui... 详细信息
来源: 评论
A Lightweight Aerial image Object Detector Based on Mask Information Enhancement
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IEEE Transactions on Instrumentation and Measurement 2025年 74卷
作者: Zhou, Liming Zhao, Shuai Liu, Zhehao Zhang, Wanjun Qiao, Baojun Liu, Yang Henan University Henan Key Laboratory of Big Data Analysis and Processing Henan Kaifeng China Henan University School of Computer and Information Engineering Henan Kaifeng China
Object detection in UAV imagery is highly valuable in both military and civilian domains. However, deploying conventional detectors is challenging due to limited computing resources on UAV platforms. Additionally, UAV... 详细信息
来源: 评论
Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations
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IEEE Transactions on Big data 2025年 第3期11卷 1548-1567页
作者: Chen, Chuan Liao, Tianchi Deng, Xiaojun Wu, Zihou Huang, Sheng Zheng, Zibin Sun Yat-sen University School of Computer Science and Engineering Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou510006 China Sun Yat-sen University School of Software Engineering Zhuhai519000 China Sun Yat-sen University School of Computer Science and Engineering Guangzhou510006 China Sun Yat-sen University School of Systems Science and Engineering Guangzhou510006 China Sun Yat-sen University School of Software Engineering Zhuhai Key Laboratory of Trusted Large Language Models Zhuhai519000 China
In the field of heterogeneous federated learning (FL), the key challenge is to efficiently and collaboratively train models across multiple clients with different data distributions, model structures, task objectives,... 详细信息
来源: 评论
DreamLayer: Simultaneous Multi-Layer Generation via Diffusion Model
arXiv
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arXiv 2025年
作者: Huang, Junjia Yan, Pengxiang Cai, Jinhang Liu, Jiyang Wang, Zhao Wang, Yitong Wu, Xinglong Li, Guanbin Sun Yat-sen University China ByteDance Intelligent Creation Peng Cheng Laboratory China Guangdong Key Laboratory of Big Data Analysis and Processing China
Text-driven image generation using diffusion models has recently gained significant attention. To enable more flexible image manipulation and editing, recent research has expanded from single image generation to trans... 详细信息
来源: 评论
DreamFuse: Adaptive image Fusion with Diffusion Transformer
arXiv
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arXiv 2025年
作者: Huang, Junjia Yan, Pengxiang Liu, Jiyang Wu, Jie Wang, Zhao Wang, Yitong Lin, Liang Li, Guanbin Sun Yat-sen University China ByteDance Intelligent Creation China Peng Cheng Laboratory China Guangdong Key Laboratory of Big Data Analysis and Processing China
image fusion seeks to seamlessly integrate foreground objects with background scenes, producing realistic and harmonious fused images. Unlike existing methods that directly insert objects into the background, adaptive... 详细信息
来源: 评论
Research on resource scheduling method based on Kubernetes
Research on resource scheduling method based on Kubernetes
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IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)
作者: Haoyang Song Liming Zhou Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng China School of Computer and Information Engineering Henan University Kaifeng China
With the continuous development of cloud computing, the demand for cloud services in all walks of life is increasing. The scale of cloud computing services based on container technology is constantly growing, and Kube... 详细信息
来源: 评论
GraphSparseNet: a Novel Method for Large Scale Trafffic Flow Prediction
arXiv
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arXiv 2025年
作者: Kong, Weiyang Wu, Kaiqi Zhang, Sen Liu, Yubao Sun Yat-Sen University Guangzhou China Sun Yat-Sen University Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China
Traffic flow forecasting is a critical spatio-temporal data mining task with wide-ranging applications in intelligent route planning and dynamic traffic management. Recent advancements in deep learning, particularly t... 详细信息
来源: 评论
Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction
arXiv
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arXiv 2025年
作者: Zhao, Ganlong Li, Guanbin Pan, Jia Yu, Yizhou The University of Hong Kong Hong Kong Sun Yat-sen University China Guangdong Key Laboratory of Big Data Analysis and Processing China Peng Cheng Laboratory China
Aerial Vision-and-Language Navigation (Aerial VLN) aims to obtain an unmanned aerial vehicle agent to navigate aerial 3D environments following human instruction. Compared to ground-based VLN, aerial VLN requires the ... 详细信息
来源: 评论
MULTIMODAL QUANTITATIVE LANGUAGE FOR GENERATIVE RECOMMENDATION
arXiv
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arXiv 2025年
作者: Zhai, Jianyang Mai, Zi-Feng Wang, Chang-Dong Yang, Feidiao Zheng, Xiawu Li, Hui Tian, Yonghong Sun Yat-sen University China Pengcheng Laboratory China Guangdong Key Laboratory of Big Data Analysis and Processing China Xiamen University China Peking University China
Generative recommendation has emerged as a promising paradigm aiming at directly generating the identifiers of the target candidates. Most existing methods attempt to leverage prior knowledge embedded in Pre-trained L... 详细信息
来源: 评论