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检索条件"机构=Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Machine Intelligence"
103 条 记 录,以下是51-60 订阅
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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
来源: 评论
Defect detection in textile fabrics with optimal Gabor filter and BRDPSO algorithm  2
Defect detection in textile fabrics with optimal Gabor filte...
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2020 2nd International Conference on Artificial intelligence Technologies and Application, ICAITA 2020
作者: Zhang, Jiawei Li, Yueyang Luo, Haichi Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China College of Internet of Things Engineering Jiangnan University Wuxi214122 China
This paper presents an effective method that can detect fabric defects. The method utilizes the optimal Gabor filter and binary random drift particle swarm algorithm (BRDPSO) that can implement feature selection and p... 详细信息
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Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
arXiv
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arXiv 2022年
作者: Liu, Zhe Li, Yun Yao, Lina Chang, Xiaojun Fang, Wei Wu, Xiaojun Yang, Yi Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University China The School of Computer Science and Engineering University of New South Wales Australia The Australian Artificial Intelligence Institute University of Technology Sydney Australia School of Computer Science and Technology Zhejiang University China
The task of Compositional Zero-Shot Learning (CZSL) is to recognize images of novel state-object compositions that are absent during the training stage. Previous methods of learning compositional embedding have shown ... 详细信息
来源: 评论
Label distribution expression recognition algorithm based on asymptotic truth value
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Journal of Measurement Science and Instrumentation 2021年 第3期12卷 295-303页
作者: HUANG Hao GE Hongwei School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi 214122 China
Ambiguous expression is a common phenomenon in facial expression recognition(FER).Because of the existence of ambiguous expression,the effect of FER is severely *** reason maybe that the single label of the data canno... 详细信息
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Exploring Fusion Strategies for Accurate RGBT Visual Object Tracking
arXiv
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arXiv 2022年
作者: Tang, Zhangyong Xu, Tianyang Li, Hui Wu, Xiao-Jun Zhu, XueFeng Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi214122 China The Center for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
We address the problem of multi-modal object tracking in video and explore various options of fusing the complementary information conveyed by the visible (RGB) and thermal infrared (TIR) modalities including pixel-le... 详细信息
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Lace Fabric Image Retrieval Using Siamese Neural Network
Lace Fabric Image Retrieval Using Siamese Neural Network
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IEEE International Conference on Signal and Image Processing (ICSIP)
作者: DongDong Xu Yueyang Li HaiChi Luo Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China College of Internet of Things Engineering Jiangnan University Wuxi China
An efficient lace fabric image retrieval method based on DCNN learning features is proposed in this paper. Fine-tuning with Siamese Neural Network is used to learn effective feature of lace fabric image. During the pr... 详细信息
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A multi-view K-multiple-means clustering method
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Journal of Measurement Science and Instrumentation 2021年 第4期12卷 405-411页
作者: ZHANG Nini GE Hongwei 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
The K-multiple-means(KMM)retains the simple and efficient advantages of the K-means algorithm by setting multiple subclasses,and improves its effect on non-convex data *** aiming at the problem that it cannot be appli... 详细信息
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Adaptive multi-modal feature fusion for far and hard object detection
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Journal of Measurement Science and Instrumentation 2021年 第2期12卷 232-241页
作者: LI Yang GE Hongwei Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi 214122 China School of Artificial Intelligence and Computer Science Jiangnan University Wuxi 214122 China
In order to solve difficult detection of far and hard objects due to the sparseness and insufficient semantic information of LiDAR point cloud,a 3D object detection network with multi-modal data adaptive fusion is pro... 详细信息
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Model inspired autoencoder for unsupervised hyperspectral image super-resolution
arXiv
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arXiv 2021年
作者: Liu, Jianjun Wu, Zebin Xiao, Liang Wu, Xiao-Jun The Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China The School of Computer Science Nanjing University of Science and Technology Nanjing China
This paper focuses on hyperspectral image (HSI) super-resolution that aims to fuse a low-spatial-resolution HSI and a high-spatial-resolution multispectral image to form a high-spatial-resolution HSI (HR-HSI). Existin... 详细信息
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A Self-Distillation-Based Multimodal Feature Alignment Network for Hyperspectral Image and LiDAR Classification
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IEEE Geoscience and Remote Sensing Letters 2025年 22卷
作者: Tianhua Mao Jianjun Liu Jinlong Yang Zebin Wu Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Jiangnan University Wuxi China School of Computer Science Nanjing University of Science and Technology Nanjing China
The joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) data seeks to provide a more comprehensive characterization of target objects. Multimodal data possess distinct semantic st... 详细信息
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