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检索条件"机构=Guangxi Key Laboratory of Intelligent processing of Computer Images and Graphics"
43 条 记 录,以下是1-10 订阅
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Spread-based elite opposite swarm optimizer for large scale optimization
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Cognitive Robotics 2022年 2卷 112-118页
作者: Zhang, Li Tan, Yu Guangxi Key Laboratory of Images and Graphics Intelligent Processing Guilin University of Electronic Technology Guilin541004 China
To prevent the traditional particle swarm optimizer (PSO) from inefficient search in complex problem spaces, this paper presents a novel spread-based elite opposite swarm optimizer (SEOSO) for large scale optimization... 详细信息
来源: 评论
An Improved Seq-Deepfake Detection Method  1st
An Improved Seq-Deepfake Detection Method
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1st International Conference on Applied Intelligence, ICAI 2023
作者: Deng, Zhenrong You, Kang Yang, Rui Hu, Xinru Chen, Yuren Guangxi Key Laboratory of Images and Graphics Intelligent Processing Guilin University of Electronic Technology Guilin541004 China Guangxi Construction Industry Mostly Guangxi China
Facial processing technology's ability to generate realistic human faces poses significant societal risks when exploited maliciously. Deep face fraud detection relies on deep learning to meticulously scrutinize th... 详细信息
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Improved YOLOv8n Model for Detecting Helmets and License Plates on Electric Bicycles
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computers, Materials & Continua 2024年 第7期80卷 449-466页
作者: Qunyue Mu Qiancheng Yu Chengchen Zhou Lei Liu Xulong Yu The College of Computer Science and Engineering North Minzu UniversityYinchuan750021China The Key Laboratory of Images and Graphics Intelligent Processing of State Ethnic Affairs Commission North Minzu UniversityYinchuan750021China
Wearing helmetswhile riding electric bicycles can significantly reduce head injuries resulting fromtraffic *** effectively monitor compliance,the utilization of target detection algorithms through traffic cameras play... 详细信息
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Hierarchical Optimization Method for Federated Learning with Feature Alignment and Decision Fusion
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computers, Materials & Continua 2024年 第10期81卷 1391-1407页
作者: Ke Li Xiaofeng Wang Hu Wang College of Computer Science and Engineering North Minzu UniversityYinchuan750021China The Key Laboratory of Images&Graphics Intelligent Processing of State Ethnic Affairs Commission North Minzu UniversityYinchuan750021China
In the realm of data privacy protection,federated learning aims to collaboratively train a global ***,heterogeneous data between clients presents challenges,often resulting in slow convergence and inadequate accuracy ... 详细信息
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PFMRC: A Unified MRC Framework for Chinese Named Entity Recognition via Semantic Feature Fusion  4
PFMRC: A Unified MRC Framework for Chinese Named Entity Reco...
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4th International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2024
作者: Deng, Zhenrong Zhang, Jinglin Xiao, Yannan Wei, Shiwei Guilin University of Electronic Technology Guangxi Key Laboratory of Images and Graphics Intelligent Processing Guilin China Nanning Research Institute Guilin University of Electronic Technology Guilin China Guangxi Key Laboratory of Images and Graphics Intelligent Processing Guilin University of Electronic Technology Guilin China School of Computer Science and Engineering Guilin University of Aerospace Technology Guilin China
The landscape of natural language processing (NLP) has been revolutionized by advancements that enable the upstream training of knowledge-rich models for downstream tasks, particularly named entity recognition (NER). ... 详细信息
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DKD2L: Dual Knowledge Distillation Dynamic Learning for sketch-based 3D shape retrieval
DKD2L: Dual Knowledge Distillation Dynamic Learning for sket...
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2025 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2025
作者: Su, Yawen Bai, Jing Lin, Gan School of Computer Science and Engineering North Minzu University Yinchuan China The Key Laboratory of Images & Graphics Intelligent Processing of State Ethnic Affairs Commission China
Sketch-based 3D shape retrieval has become a prominent area of research in computer vision, confronting challenges related to the inherent diversity and abstraction of sketches, as well as inter-domain discrepancies. ... 详细信息
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CDF-Net: A zero-shot 3D classification network with CLIP Decoder for Feature Fusion  24
CDF-Net: A zero-shot 3D classification network with CLIP Dec...
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2024 International Conference on intelligent Perception and Pattern Recognition, IPPR 2024
作者: Yan, Hao Bai, Jing Liu, Lu School of Computer Science and Engineering North Minzu University China The Key Laboratory of images Graphics Intelligent Processing of State Ethnic Affairs Commission China
Zero-shot 3D model classification requires neural networks to correctly classify models with unseen categories, which has important practical implications for fields such as autonomous driving and robotics. PointCLIP ... 详细信息
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Fine-grained point cloud classification based on adaptive KNN algorithm  24
Fine-grained point cloud classification based on adaptive KN...
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2024 International Conference on intelligent Perception and Pattern Recognition, IPPR 2024
作者: Liu, Lu Bai, Jing Yan, Hao School of Computer Science and Engineering North Minzu University China The Key Laboratory of images Graphics Intelligent Processing of State Ethnic Affairs Commission China
In point cloud deep learning, local feature aggregation is crucial to improve the performance of the model. The traditional KNN (K-Nearest Neighbors) method performs local feature aggregation by fixing the K value, bu... 详细信息
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Parameter-free Zero-shot 3D Model Classification Based on Multi-view Representation  24
Parameter-free Zero-shot 3D Model Classification Based on Mu...
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2024 International Conference on intelligent Perception and Pattern Recognition, IPPR 2024
作者: Xi, Shuting Bai, Jing Yan, Hao School of Computer Science and Engineering North Minzu University China The Key Laboratory of Images Graphics Intelligent Processing of State Ethnic Affairs Commission China
The large-scale pre-trained models have demonstrated excellent performance in processing visual and language tasks in open-world scenarios. However, recent studies have shown that there are limitations in using compar... 详细信息
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A topic relevance-aware click model for web search
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Journal of intelligent and Fuzzy Systems 2024年 第4期46卷 8961-8974页
作者: Jianping, Liu Yingfei, Wang Jian, Wang Meng, Wang Xintao, Chu College of Computer Science and Engineering North Minzu University Yinchuan China The Key Laboratory of Images Graphics Intelligent Processing of State Ethnic Affairs Commission North Minzu University Yinchuan China Agricultural Information Institute Chinese Academy of Agricultural Sciences Beijing China
To better understand users’ behavior patterns in web search, numerous click models are proposed to extract the implicit interaction feedback. Most existing click models are heavily based on the implicit information t... 详细信息
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