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检索条件"机构=Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education"
852 条 记 录,以下是161-170 订阅
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A MULTI-BRANCH NETWORK BASED ON WEIGHT SHARING AND ATTENTION MECHANISM FOR HYPERSPECTRAL image CLASSIFICATION
A MULTI-BRANCH NETWORK BASED ON WEIGHT SHARING AND ATTENTION...
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2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
作者: Guo, Zhen Mu, Caihong Liu, Yi Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Collaborative Innovation Center of Quantum Information of Shaanxi Province International Research Center for Intelligent Perception and Computation Joint International Research Laboratory of Intelligent Perception and Computation School of Artificial Intelligence Xidian University Shaanxi Province Xi'an710071 China School of Electronic Engineering Xidian University Xi'an710071 China
Deep convolutional neural network (DCNN) has been widely used in hyperspectral image classification. However, due to the large number of parameters of DCNN, it is difficult for the network to converge during the train... 详细信息
来源: 评论
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral image
arXiv
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arXiv 2025年
作者: Ding, Yao Kang, Weijie Yang, Aitao Zhang, Zhili Zhao, Junyang Feng, Jie Hong, Danfeng Zheng, Qinghe The Key Laboratory of Intelligent Control PLA Rocket Force University of Engineering Xi’an710025 China The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Xidian University Xi’an710071 China The Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China The School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China
Hyperspectral image (HSI) clustering has been a fundamental but challenging task with zero training labels. Currently, some deep graph clustering methods have been successfully explored for HSI due to their outstandin... 详细信息
来源: 评论
A Deep Learning Filter for Visual Drone Single Object Tracking  16th
A Deep Learning Filter for Visual Drone Single Object Tracki...
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Workshops held at the 16th European Conference on Computer Vision, ECCV 2020
作者: Zhang, Xin Jiao, Licheng Liu, Xu Li, Xiaotong Zhang, Wenhua Zhu, Hao Zhang, Jie Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial Intelligence Xidian University Xi’an China
Object tracking is one of the most important topics in computer vision. In visual drone tracking, it is an extremely challenging due to various factors, such as camera motion, partial occlusion, and full occlusion. In... 详细信息
来源: 评论
Prototype-based classifier learning for long-tailed visual recognition
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Science China(Information Sciences) 2022年 第6期65卷 62-76页
作者: Xiu-Shen WEI Shu-Lin XU Hao CHEN Liang XIAO Yuxin PENG School of Computer Science and Engineering Nanjing University of Science and Technology State Key Laboratory of Integrated Services Networks Xidian University Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education and Jiangsu Key Lab of Image and Video Understanding for Social Security Wangxuan Institute of Computer Technology Peking University
In this paper, we tackle the long-tailed visual recognition problem from the categorical prototype perspective by proposing a prototype-based classifier learning(PCL) method. Specifically, thanks to the generalization... 详细信息
来源: 评论
Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration
arXiv
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arXiv 2023年
作者: Wu, Qianliang Jiang, Haobo Ding, Yaqing Luo, Lei Xie, Jin Yang, Jian PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China
Efficiently finding optimal correspondences between point clouds is crucial for solving both rigid and nonrigid point cloud registration problems. Existing methods often rely on geometric or semantic feature embedding... 详细信息
来源: 评论
Sparse Prior Is Not All You Need: When Differential Directionality Meets Saliency Coherence for Infrared Small Target Detection
arXiv
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arXiv 2024年
作者: Zhou, Fei Fu, Maixia Qian, Yulei Yang, Jian Dai, Yimian Ministry of Education Henan Key Laboratory of Grain Photoelectric Detection and Control Henan University of Technology Zhengzhou China Nanjing Marine Radar Institute Nanjing China PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China
Infrared small target detection is crucial for the efficacy of infrared search and tracking systems. Current tensor decomposition methods emphasize representing small targets with sparsity but struggle to separate tar... 详细信息
来源: 评论
Direct Distillation between Different Domains
arXiv
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arXiv 2024年
作者: Tang, Jialiang Chen, Shuo Niu, Gang Zhu, Hongyuan Zhou, Joey Tianyi Gong, Chen Sugiyama, Masashi School of Computer Science and Engineering Nanjing University of Science and Technology China Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information Ministry of Education China Jiangsu Key Laboratory of Image and Video Understanding for Social Security China Singapore Center for Advanced Intelligence Project RIKEN Japan The Graduate School of Frontier Sciences The University of Tokyo Japan
Knowledge Distillation (KD) aims to learn a compact student network using knowledge from a large pre-trained teacher network, where both networks are trained on data from the same distribution. However, in practical a... 详细信息
来源: 评论
Triple Point Masking
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Liu, Jiaming Kong, Linghe Wu, Yue Gong, Maoguo Li, Hao Miao, Qiguang Ma, Wenping Qin, Can The Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China The School of Computer Science and Technology Key Laboratory of Collaborative Intelligence Systems Ministry of Education Xidian University Xi’an710071 China The School of Electronic Engineering Key Laboratory of Collaborative Intelligence Systems Ministry of Education Xidian University Xi’an710071 China The College of Mathematics Science Inner Mongolia Normal University Hohhot010022 China The School of Artificial Intelligence Key Laboratory of Intelligent Perception and Image Understanding Ministry of Education Xidian University Xi’an710071 China The Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States
Existing 3D mask learning methods encounter performance bottlenecks under limited data, and our objective is to overcome this limitation. In this paper, we introduce a triple point masking scheme, named TPM, which ser... 详细信息
来源: 评论
Towards Data-Centric Long-Tailed image Recognition
SSRN
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SSRN 2024年
作者: Ma, Yanbiao Jiao, Licheng Liu, Fang Li, Lingling Ma, Wenping Liu, Xu Chen, Puhua Yang, Shuyuan aKey Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xi’an 710071 China bInternational Research Center for Intelligent Perception and Computation Xi’an 710071 China cJoint International Research Center for brain-like perception and cognition Xi’an 710071 China dCollaborative Innovation Center of Quantum Information of Shaanxi Province Xi’an 710071 China eSchool of Artificial Intelligence Xidian University Xi’an 710071 China
In the context of the long-tailed scenario, models exhibit a strong demand for high-quality data. Data-centric approaches aim to enhance both the quantity and quality of data to improve model performance. Among these ... 详细信息
来源: 评论
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition
arXiv
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arXiv 2023年
作者: Zhou, Yijin Li, Fu Li, Yang Ji, Youshuo Zhang, Lijian Chen, Yuanfang Zheng, Wenming Shi, Guangming Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education The School of Artificial Intelligence Xidian University Xi’an China Beijing Institute of Mechanical Equipment Beijing China School of Biological Sciences and Medical Engineering Southeast University Jiangsu Nanjing China
As the key to realizing aBCIs, EEG emotion recognition has been widely studied by many researchers. Previous methods have performed well for intra-subject EEG emotion recognition. However, the style mismatch between s... 详细信息
来源: 评论