云南高校图书馆联盟文献共享服务平台- VISIO

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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

姿态引导与特征增强结合的遮挡行人重识别: 《计算机工程与设计》2024年第6期1843-1849,共7页杜浩宇苟刚; 国家自然科学基金项目(62162010);贵州省科技支撑计划基金项目(黔科合支撑[2022]一般267)。; 为解决现有遮挡行人重识别方法只注重于引入外部信息而忽略特征增强的问题,提出一种姿态引导与特征增强结合的遮挡行人重识别方法。将小步幅的滑动窗口引入VIT(Vision-Transformer),使网络获取局部的细微特征,将特征经过遮挡消除模块,...; 关键词：遮挡行人重识别姿态引导特征增强 Vision-Transformer模型小步幅滑动窗口 CBN模块遮挡消除模块

基于深度学习的围岩智能分级系统与评价机制: 《中文科技期刊数据库（文摘版）工程技术》2024年第5期0196-0199,共4页李园吴瑞港彭云鹤刘啟倬徐长节; 江西省交通运输厅重点工程科技项目(2023C0001);江西省交通运输厅重大研发专项项目(2022Z0001、2022Z0002);江西省赣鄱俊才-青年人才项目(20232BCJ23069)。; 针对传统围岩分级方法难以满足现有工程中对于隧道高效施工的需求问题,本文基于深度学习算法开展了围岩智能分级系统研究。通过深度学习技术对隧道掌子面图片进行识别分类,训练以隧道掌子面图像和特征标签为数据集的深度学习Vision Tran...; 关键词：围岩分级深度学习 Vision-transformer模型

VISIO