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检索条件"机构=The Department of Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition"
134 条 记 录,以下是1-10 订阅
排序:
Automatic Weight Allocation: optimizing remote sensing image retrieval from contrastive learning perspective
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Multimedia Systems 2025年 第3期31卷 1-19页
作者: Wang, Sijia Ge, Yun Liu, Qiyang Zeng, Yan School of Software Nanchang Hangkong University Nanchang China Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition Nanchang China
Traditional supervised learning methods achieve remarkable performance in high-resolution remote sensing image retrieval, but are limited by the dependence on large-scale annotated images. Contrastive learning can lev...
来源: 评论
A Research Mode Based Evolutionary Algorithm for Many-Objective Optimization
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Chinese Journal of Electronics 2019年 第4期28卷 764-772页
作者: CHEN Guoyu LI Junhua Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University
The development of algorithms to solve Many-objective optimization problems(MaOPs) has attracted significant research interest in recent *** various types of Pareto front(PF) is a daunting challenge for evolutionary a... 详细信息
来源: 评论
Segmentation of the Ventricle Membranes in Short-Axis Sequences by Optical Flow Base on DLSRE Model
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Chinese Journal of Electronics 2021年 第3期30卷 460-470页
作者: LI Lin WU Hengfei LI Junhua Department of Electronics and Information Engineering Bozhou University Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University
Recent studies have pointed out that the boundary of the extracted ventricle membranes is unsmooth, and the segmentation of the cardiac papillary muscle and trabecular muscle do inconformity the clinical requirements.... 详细信息
来源: 评论
Deep Learning in Palmprint recognition-A Comprehensive Survey
arXiv
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arXiv 2025年
作者: Gao, Chengrui Yang, Ziyuan Jia, Wei Leng, Lu Zhang, Bob Teoh, Andrew Beng Jin College of Computer Science Sichuan University Chengdu610065 China Singapore School of Computer and Information Hefei University of Technology Hefei China Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang China Pattern Analysis and Machine Intelligence Group Department of Computer and Information Science University of Macau Taipa China School of Electrical and Electronic Engineering College of Engineering Yonsei University Seoul Korea Republic of
Palmprint recognition has emerged as a prominent biometric technology, widely applied in diverse scenarios. Traditional handcrafted methods for palmprint recognition often fall short in representation capability, as t... 详细信息
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Improved global optical flow estimation with mean shift algorithm for target detection
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International Journal of Wireless and Mobile Computing 2015年 第4期8卷 323-328页
作者: Wang, Zhonghua Li, Chunyong Liu, Qingping Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang Jiangxi Province330063 China School of Information and Engineering Nanchang Hangkong University Nanchang Jiangxi Province330063 China
In view of the problem that the global optical flow algorithm cannot acquire accurate motion parameter estimation at a low-gradient value, an improved method has been presented in order to enhance the self-adaptive ab... 详细信息
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GFENet: Enabling Attention and Adaptive Feature Fusion in Real-time Object Detection  2
GFENet: Enabling Attention and Adaptive Feature Fusion in Re...
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2nd International Symposium on Electrical, Electronics and Information Engineering, ISEEIE 2022
作者: Pan, Chaolin Zhu, Xiaoyang Chu, Jun Nanchang Hangkong University Department of Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang China
Real-time object detection has been a critical component of onboard instrumentation for next-generation autonomous driving. To enable safety and reliability in autonomous driving systems, we must continue advancing it... 详细信息
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An image compression-encryption algorithm based on 2-D compressive sensing
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Journal of Computational Information Systems 2013年 第24期9卷 10057-10064页
作者: Mo, Yan Zhang, Aidi Zheng, Fen Zhou, Nanrun Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang 330063 China Department of Electronic Information Engineering Nanchang University Nanchang 330031 China
An image compression-encryption algorithm based on 2-D compressive sensing is proposed, which can accomplish encryption and compression simultaneously. The measurements are performed in two directi-ons and the measure... 详细信息
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Motion estimation and spatial-temporal filter-based infrared small target detection algorithm
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International Journal of Wireless and Mobile Computing 2015年 第3期8卷 256-261页
作者: Wang, Zhonghua Liao, Yuan Liu, Qingping Li, Chunyong School of Information and Engineering Nanchang Hangkong University Nanchang Jiangxi Province330063 China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang Jiangxi Province330063 China Department of Information Engineering Nanchang Hangkong University Nanchang330063 China
Under the effect of solar variation, atmospheric attenuation and thermal radiation distribution, the grey value of interference source is close to or equal to the target grey value. With the distance between the imagi... 详细信息
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Object Detector based on Enhanced Multi-scale Feature Fusion Pyramid Network  5
Object Detector based on Enhanced Multi-scale Feature Fusion...
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5th IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2021
作者: Zhao, Luan Zhang, Xiaofeng Nanchang Hangkong University Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition School of Information Engineering Nanchang China
Constructing the pyramidal architecture for the feature is currently a very effective way to obtain feature information of objects at different scales. Although the feature pyramid can realize the recognition and dete... 详细信息
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Dense Connected Residual Generative Adversarial Network for Single image Deblurring  5
Dense Connected Residual Generative Adversarial Network for ...
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5th IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2021
作者: Qian, Pan Wu, Yeyun Zhang, Xiaofeng Nanchang Hangkong University School of Information Engineering Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang China
Recently, deep convolutional learning has been applied to image deblurring, which greatly improves the performance of single-image blind deblurring algorithms. However, most deep image deblurring models based on convo... 详细信息
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