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检索条件"机构=Guangxi Key Laboratory of Image Graphics and Intelligent Processing"
222 条 记 录,以下是111-120 订阅
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Hyper-Tuned Convolutional Neural Networks for Authorship Verification in Digital Forensic Investigations
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Computers, Materials & Continua 2023年 第8期76卷 1947-1976页
作者: Asif Rahim Yanru Zhong Tariq Ahmad Sadique Ahmad Mohammed A.ElAffendi School of Computer and Information Security Guilin University of Electronic TechnologyGuilin541004China Guangxi Key Laboratory of Intelligent Processing of Computer Images and Graphics Guilin University of Electronic TechnologyGuilin541004China School of Information and Communication Guilin University of Electronic TechnologyGuilin541004China EIAS:Data Science and Blockchain Laboratory College of Computer and Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia
Authorship verification is a crucial task in digital forensic investigations,where it is often necessary to determine whether a specific individual wrote a particular piece of *** Neural Networks(CNNs)have shown promi... 详细信息
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A Novel Dual-supervised Convolutional Network for Retinal Vessel Segmentation
A Novel Dual-supervised Convolutional Network for Retinal Ve...
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image processing, Computer Vision and Machine Learning (ICICML), International Conference on
作者: Zizheng Li Junlin Guan Huadeng Wang Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
Retinal vascular images play an essential role in the early diagnosis of ophthalmic diseases. Automatic segmentation of retinal blood vessels is a challenging task due to the complex vascular interlacing of fundus ima... 详细信息
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Semantic Segmentation Network with Local Multi-Scale Attention for Locating Traffic Sign
Semantic Segmentation Network with Local Multi-Scale Attenti...
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International Conference on intelligent Computation Technology and Automation, ICICTA
作者: Shun Zhong Zhuoyuan Zheng Peipei Yang Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
Semantic segmentation network is able to detect multi-scale traffic sign effectively. However, probabilities that different scale features participate in decision are equal in the network. In this work, we propose a l... 详细信息
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On the optimization of tolerance synthesis with an ontology-based approach
On the optimization of tolerance synthesis with an ontology-...
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Chinese Automation Congress (CAC)
作者: Hongcheng Lu Meifa Huang Yanru Zhong Congwen Zheng Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin PR China
In general, mechanical designers have to manually select assembly tolerance types and values in product design. To reduce the uncertainty in manufacturing process, solve the problem of effectively sharing and smoothly... 详细信息
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Research on YOLOv8-Based Household Item Detection for Indoor Scenes
Research on YOLOv8-Based Household Item Detection for Indoor...
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Data Intelligence and Innovative Application (DIIA), IEEE International Conference on
作者: Jingwen Wu Xiaonan Luo Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
This research is driven by the growing need for efficient, scalable object detection in smart home applications with real-time performance and resource constraints. In this study, we utilize the YOLOv8 deep learning m... 详细信息
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EOFD-Net: Edge Optimization and Feature Denoising for Weakly Supervised Deep Nuclei Segmentation with Point Annotations
EOFD-Net: Edge Optimization and Feature Denoising for Weakly...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Xipeng Pan Feihu Hou Zhenbing Liu Siyang Feng Rushi Lan Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
Nuclei segmentation is a fundamental and critical step in digital pathological image analysis. Fully supervised nuclei segmentation requires a lot of pixel-by-pixel manual annotation by pathologists, which is very tim...
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Application of intelligent Schedule Management in Volunteer Service System
Application of Intelligent Schedule Management in Volunteer ...
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Data Intelligence and Innovative Application (DIIA), IEEE International Conference on
作者: Yongxin Li Xiaonan Luo Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
As the demand for volunteer services grows, enhancing the efficiency and management of these services has become a key issue. This paper explores methods of integrating intelligent scheduling management functions with... 详细信息
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An English Pronunciation Evaluation Model Based on Acoustic Phonetics Features
An English Pronunciation Evaluation Model Based on Acoustic ...
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Computer Science and Blockchain (CCSB), International Conference on
作者: Hongkang Wang Qingkai Guo Guimin Huang Ya Zhou Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
Oral English practice constitutes a crucial component of English language acquisition for non-native speakers; however, traditional classroom teaching methods are increasingly insufficient to address the diverse needs... 详细信息
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SRGNet: A GRU Based Feature Fusion Network for image Denoising
SRGNet: A GRU Based Feature Fusion Network for Image Denoisi...
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2019 International Symposium on intelligent Signal processing and Communication Systems, ISPACS 2019
作者: Wang, Wenhao Pang, Cheng Liu, Zhenbing Lan, Rushi Luo, Xiaonan Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China National Local Joint Engineering Research Center of Satellite Navigation and Location Service Guilin University of Electronic Technology Guilin China
image denoising is an essential pretreatment for most of image processing pipelines, which has been extensively studied for several decades. Recently, convolutional neural networks with skip connections show promising... 详细信息
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Gland segmentation based on morphological clues and feature fusion
Gland segmentation based on morphological clues and feature ...
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image processing, Computer Vision and Machine Learning (ICICML), International Conference on
作者: Lingqi Zeng Huadeng Wang Junlin Guan Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China
The task of gland segmentation based on deep learning serves as a crucial auxiliary tool for diagnosing cancer. However, existing methods still exhibit shortcomings in handling gland adhesion and scale adaptability. T...
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