VISIO

作品数:437被引量:307H指数:9
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Vision-language model-based human-robot collaboration for smart manufacturing:A state-of-the-art survey
《Frontiers of Engineering Management》2025年第1期177-200,共24页Junming FAN Yue YIN Tian WANG Wenhang DONG Pai ZHENG Lihui WANG 
Research Institute for Advanced Manufacturing(RIAM)of The Hong Kong Polytechnic University(1-CDJT);Intra-Faculty Interdisciplinary Project 2023/24(1-WZ4N);Research Committee of The Hong Kong Polytechnic University;State Key Laboratory of Intelligent Manufacturing Equipment and Technology,Huazhong University of Science and Technology(IMETKF2024010);Guangdong-Hong Kong Technology Cooperation Funding Scheme(GHX/075/22GD);Innovation and Technology Commission(ITC);COMAC International Collaborative Research Project(COMAC-SFGS-2023-3148);General Research Fund from the Research Grants Council of the Hong Kong Special Administrative Region,China(Project Nos.PolyU15210222 and PolyU15206723);Open access funding provided by the Hong Kong Polytechnic University.
human-robot collaboration(HRC)is set to transform the manufacturing paradigm by leveraging the strengths of human flexibility and robot precision.The recent breakthrough of Large Language Models(LLMs)and Vision-Langua...
关键词:vision-language models large language models human-robot collaboration smart manufacturing 
MKGViLT:visual-and-language transformer based on medical knowledge graph embedding
《High Technology Letters》2025年第1期73-85,共13页CUI Wencheng SHI Wentao SHAO Hong 
Supported by the National Natural Science Foundation of China(No.62001313);the Liaoning Professional Talent Protect(No.XLYC2203046);the Shenyang Municipal Medical Engineering Cross Research Foundation of China(No.22-321-32-09).
Medical visual question answering(MedVQA)aims to enhance diagnostic confidence and deepen patientsunderstanding of their health conditions.While the Transformer architecture is widely used in multimodal fields,its app...
关键词:knowledge graph(KG) medical vision question answer(MedVQA) vision-andlanguage transformer 
Debiasing vision-language models for vision tasks:a survey
《Frontiers of Computer Science》2025年第1期175-177,共3页Beier ZHU Hanwang ZHANG 
1 Introduction In recent years,foundation Vision-Language Models(VLMs),such as CLIP[1],which empower zero-shot transfer to a wide variety of domains without fine-tuning,have led to a significant shift in machine learn...
关键词:TASKS IMAGE tuning 
A Review on Vision-Language-Based Approaches: Challenges and Applications
《Computers, Materials & Continua》2025年第2期1733-1756,共24页Huu-Tuong Ho Luong Vuong Nguyen Minh-Tien Pham Quang-Huy Pham Quang-Duong Tran Duong Nguyen Minh Huy Tri-Hai Nguyen 
In multimodal learning, Vision-Language Models (VLMs) have become a critical research focus, enabling the integration of textual and visual data. These models have shown significant promise across various natural lang...
关键词:Bootstrapping language-image pre-training(BLIP) multimodal learning vision-language model(VLM) vision-language pre-training(VLP) 
Visio软件在车速鉴定中的应用
《汽车电器》2024年第12期85-87,共3页时玉正 车帅 马宝坤 
为提高基于视频图像的车速鉴定精度和效率,文章提出一种利用软件辅助标注事故元素特征点的方法。首先剖析车速鉴定过程中影响鉴定结论精度的因素;接着介绍运用Office Visio软件标记事故元素特征点的基本方法和注意事项;最后通过实际案例...
关键词:车速鉴定 视频图像 VISIO 特征点 
Novel vision-LiDAR fusion framework for human action recognition based on dynamic lateral connection
《IET Cyber-Systems and Robotics》2024年第4期21-31,共11页Fei Yan Guangyao Jin Zheng Mu Shouxing Zhang Yinghao Cai Tao Lu Yan Zhuang 
National Key Research and Development Program of China,Grant/Award Number:2022YEB4700400;National Natural Science Foundation of China,Grant/Award Numbers:U22B2041,62173056;Education Department of Hainan Province,Grant/Award Number:Hnky2024ZD‐19。
In the past decades,substantial progress has been made in human action recognition.However,most existing studies and datasets for human action recognition utilise still images or videos as the primary modality.Image-b...
关键词:neural network-based pedestrian identification sensor fusion 
Modality-experts coordinated adaptation for large multimodal models
《Science China(Information Sciences)》2024年第12期75-92,共18页Yan ZHANG Zhong JI Yanwei PANG Jungong HAN Xuelong LI 
supported by National Key Research and Development Program of China (Grant No.2022ZD0160403);National Natural Science Foundation of China (Grant No.62176178)。
Driven by the expansion of foundation models and the increasing variety of downstream tasks,parameter-efficient fine-tuning(PEFT) methods have exhibited remarkable efficacy in the unimodal domain,effectively mitigatin...
关键词:large multimodal model multimodal learning vision-language pretraining parameter-efficient fine-tuning ADAPTER modality expert 
基于C#的配网在线监测系统设计与实现被引量:1
《电子科技》2024年第9期20-26,共7页高元隆 吴成明 张磊 
国家自然科学基金(52007103)。
中低压配网监测技术无法有效实现对各层电网运行信息的共享分析,监测可视化效果差。针对该问题,文中利用VISIO(流程图和矢量绘图软件)二次开发技术设计了一个基于C#的配网运行在线监测系统。该系统具有系统基础配置管理,包括实时数据监...
关键词:C# VISIO 可视化 三层架构 数据交互 监测系统 数据统计 数据预警 
Computer vision in smart agriculture and precision farming:Techniques and applications被引量:1
《Artificial Intelligence in Agriculture》2024年第3期64-83,共20页Sumaira Ghazal Arslan Munir Waqar S.Qureshi 
supported in part by the United States Department of Agriculture(USDA)National Institute of Food and Agriculture(NIFA);Award Number 2023-67021-40614.
The transformation of age-old farming practices through the integration of digitization and automation has sparked a revolution in agriculture that is driven by cutting-edge computer vision and artificial intelligence...
关键词:Digital agriculture Computer vision Smart agriculture Image analysis Vision-guided intelligent systems 
Enhanced vision-transformer integrating with semi-supervised transfer learning for state of health and remaining useful life estimation of lithium-ion batteries
《Energy and AI》2024年第3期380-396,共17页Ya-Xiong Wang Shangyu Zhao Shiquan Wang Kai Ou Jiujun Zhang 
supported by the Science and Technology Major Project of Fujian Province of China(Grant No.2022HZ028018);the National Natural Science Foundation of China(Grant No.51907030).
The state of health(SOH)and remaining useful life(RUL)of lithium-ion batteries are crucial for health management and diagnosis.However,most data-driven estimation methods heavily rely on scarce labeled data,while trad...
关键词:State of health(S0H) Remaining useful life(RUL) Depth-wise separable convolutional vision-transformer Transfer learning Maximum mean discrepancy Semi supervised learning 
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