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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31-40 订阅
排序:
EACNet:Ensemble adversarial co-training neural network for handling missing modalities in MRI images for brain tumor segmentation
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Journal of Measurement Science and Instrumentation 2025年 第1期16卷 11-25页
作者: RAMADHAN Amran Juma CHEN Jing PENG Junlan School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi 214122China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computing Intelligence Jiangnan UniversityWuxi 214122China
Brain tumor segmentation is critical in clinical diagnosis and treatment *** methods for brain tumor segmentation with missing modalities often struggle when dealing with multiple missing modalities,a common scenario ... 详细信息
来源: 评论
A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
arXiv
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arXiv 2023年
作者: Liu, Jianjun Wu, Zebin Xiao, Liang Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China School of Computer Science Nanjing University of Science and Technology Nanjing China
Fusion-based hyperspectral image (HSI) superresolution aims to produce a high-spatial-resolution HSI by fusing a low-spatial-resolution HSI and a high-spatial-resolution multispectral image. Such a HSI super-resolutio... 详细信息
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A Deep Decomposition Network for Image Processing: A Case Study of Image Fusion
SSRN
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SSRN 2022年
作者: Fu, Yu Xu, Tianyang Wu, Xiao-Jun Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China
Image decomposition into constituent components has many applications in the field of image processing. It aims to extract salient features from the source image for subsequent pattern recognition. In this paper, we p... 详细信息
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A Riemannian Residual Learning Mechanism for SPD Network
A Riemannian Residual Learning Mechanism for SPD Network
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International Joint Conference on Neural Networks (IJCNN)
作者: Zhenyu Cai Rui Wang Tianyang Xu Xiaojun Wu Josef Kittler School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Wuxi China Centre for Vision Speech and Signal Processing University of Surrey Guildford U.K.
The generalization of Euclidean network paradigm to the Riemannian manifolds has attracted much attention for offering useful geometric representations in processing manifold-valued data in recent years. However, the ... 详细信息
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Semantic Feature Integration network for Fine-grained Visual Classification
arXiv
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arXiv 2023年
作者: Wang, Hui Li, Yueyang Luo, Haichi Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University 1800 Lihu Avenue Jiangsu Wuxi214000 China College of Internet of Things Engineering Jiangnan University 1800 Lihu Avenue Jiangsu Wuxi214000 China
Fine-Grained Visual Classification (FGVC) is known as a challenging task due to subtle differences among subordinate categories. Many current FGVC approaches focus on identifying and locating discriminative regions by... 详细信息
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A fast GA for automatically evolving CNN architectures  20
A fast GA for automatically evolving CNN architectures
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2020 Genetic and Evolutionary Computation Conference, GECCO 2020
作者: Hong, Zhou Fang, Wei Sun, Jun Wu, Xiaojun Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China
Convolutional neural networks (CNNs) have been proved to be effective models to solve a series of challenging computer vision tasks. However, designing CNN architectures with good performance is still a challenging ta... 详细信息
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Collaborative Representation for SPD Matrices with Application to Image-Set Classification
arXiv
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arXiv 2022年
作者: Chu, Li Wang, Rui Wu, Xiao-Jun The School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University China
Collaborative representation-based classification (CRC) has demonstrated remarkable progress in the past few years because of its closed-form analytical solutions. However, the existing CRC methods are incapable of pr... 详细信息
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General and robust voxel feature learning with Transformer for 3D object detection
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Journal of Measurement Science and Instrumentation 2022年 第1期13卷 51-60页
作者: LI Yang GE Hongwei Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi 214122 China School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China
The self-attention networks and Transformer have dominated machine translation and natural language processing fields,and shown great potential in image vision tasks such as image classification and object *** by the ... 详细信息
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Enhanced Long-Term Prediction Based on 2d Tensorization for Building Energy Consumption
SSRN
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SSRN 2023年
作者: Kong, Jun Deng, Song Jiang, Min Zhuang, Danfeng Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China IBISC Univ. Evry Université Paris-Saclay 91020 France
Building energy consumption constitutes a significant contributor to greenhouse gas emissions. Accurate prediction of building energy consumption is crucial for building energy management, thus contributing to the red... 详细信息
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Multi-scale Frequency Enhancement Network for Blind Image Deblurring
arXiv
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arXiv 2024年
作者: Xiang, Yawen Zhou, Heng Li, Chengyang Li, Zhongbo Xie, Yongqiang The Institute of Systems Engineering Academy of Military Science Beijing100141 China School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China Beijing100100 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China Beijing100100 China
Image deblurring is an essential image preprocessing technique, aiming to recover clear and detailed images form blurry ones. However, existing algorithms often fail to effectively integrate multi-scale feature extrac... 详细信息
来源: 评论