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检索条件"机构=Jiangsu Provincial Engineering Laboratory Pattern Recognition and Computational Intelligence"
104 条 记 录,以下是41-50 订阅
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MAAUNet:Exploration of U-shaped encoding and decoding structure for semantic segmentation of medical image
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Journal of Measurement Science and Instrumentation 2022年 第4期13卷 418-429页
作者: SHAO Shuo GE Hongwei Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan UniversityWuxi 214122China School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi 214122China
In view of the problems of multi-scale changes of segmentation targets,noise interference,rough segmentation results and slow training process faced by medical image semantic segmentation,a multi-scale residual aggreg... 详细信息
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Anomaly detection and segmentation based on multi-student teacher network
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Journal of Measurement Science and Instrumentation 2022年 第2期13卷 235-241页
作者: REN Chaoqiang LIU Dengfeng School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi 214122 China
In automated industrial inspection,it is often necessary to train models on anomaly-free images and perform anomaly detection on products,which is also an important and challenging task in computer *** student-teacher... 详细信息
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A Many-Objective Evolutionary Algorithm Based on New Angle Penalized Distance
A Many-Objective Evolutionary Algorithm Based on New Angle P...
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Congress on Evolutionary Computation
作者: Junchao Fang Wei Fang Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China
In evolutionary many-objective optimization, achieving better balance between convergence and diversity of the population is a crucial way to improve the efficiency of the algorithm. However, diversity measure may sel... 详细信息
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Contrastive learning based method for X-ray and CT registration under surgical equipment occlusion
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Computers in Biology and Medicine 2024年 180卷 108946页
作者: Wang, Xiyuan Zhang, Zhancheng Xu, Shaokang Luo, Xiaoqing Zhang, Baocheng Wu, Xiao-Jun School of Electronics and Information Engineering at University of Science and Technology Suzhou SuZhou215009 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science at Jiangnan University WuXi214122 China Department of Orthopaedics General Hospital of Central Theater Command of PLA WuHan430012 China Shanghai Jirui Maestro Surgical Technology Co ShangHai200000 China
Deep learning-based 3D/2D surgical navigation registration techniques achieved excellent results. However, these methods are limited by the occlusion of surgical equipment resulting in poor accuracy. We designed a con... 详细信息
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An Efficient and Flexible Automatic Search Algorithm for Convolution Network Architectures
An Efficient and Flexible Automatic Search Algorithm for Con...
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Congress on Evolutionary Computation
作者: Liang Zhao Wei Fang Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China
As many superior convolutional neural networks (CNNs) have been proposed in recent years, CNNs have played an important role in computer vision. However, manually-designing CNN architecture is difficult since expertis... 详细信息
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A Dual-Branch Network for Infrared and Visible Image Fusion
A Dual-Branch Network for Infrared and Visible Image Fusion
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International Conference on pattern recognition
作者: Yu Fu Xiao-Jun Wu Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China
In recent years, deep learning has been used extensively in the field of image fusion. In this article, we propose a new image fusion method by designing a new structure and a new loss function for a deep learning mod... 详细信息
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A dual-branch network for infrared and visible image fusion
arXiv
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arXiv 2021年
作者: Fu, Yu Wu, Xiao-Jun Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
In recent years, deep learning has been used extensively in the field of image fusion. In this article, we propose a new image fusion method by designing a new structure and a new loss function for a deep learning mod... 详细信息
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Convolutional Neural Network-Based Multimodal Image Information Fusion for Moisture Damage Assessment of Cultural Heritage Buildings
SSRN
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SSRN 2024年
作者: Wang, Fuzhi Huang, Jizhong Fu, Yu Department of Civil Engineering Shanghai University Shanghai200444 China Institute for the Conservation of Cultural Heritage Shanghai University Shanghai200444 China Key Laboratory of Silicate Cultural Relics Conservation Shanghai University Ministry of Education Shanghai200444 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
Water is an essential factor causing the deterioration of historical and cultural heritage, and identifying and quantifying moisture damage is essential for conserving cultural heritage buildings. This study combines ... 详细信息
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Riemannian Self-Attention Mechanism for SPD Networks
arXiv
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arXiv 2023年
作者: Wang, Rui Wu, Xiao-Jun Li, Hui Kittler, Josef School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
Symmetric positive definite (SPD) matrix has been demonstrated to be an effective feature descriptor in many scientific areas, as it can encode spatiotemporal statistics of the data adequately on a curved Riemannian m... 详细信息
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Fabric defect detection method based on Cascade Deep Support Vector Data Description  2
Fabric defect detection method based on Cascade Deep Support...
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2020 2nd International Conference on Artificial intelligence Technologies and Application, ICAITA 2020
作者: Wang, Xupeng Li, Yueyang Luo, Haichi Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China College of Internet of Things Engineering Jiangnan University Wuxi China
The Fabric defect detection method based on Cascade Deep Support Vector Data Description (SVDD) is proposed in this paper. The method describes the data by Deep SVDD to realize the correct evaluation between the norma... 详细信息
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