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D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 1-16
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
Adobe PDF(8963Kb)  |  收藏  |  浏览/下载：131/34  |  提交时间：2023/03/20
Category-awareness  change detection  optical remote sensing image  threshold learning  
A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455
作者:  Wang, Jiangong;  Shen, Tianyu;  Tian, Yonglin;  Wang, Yutong;  Gou, Chao;  Wang, Xiao;  Yao, Fei;  Sun, Changyin
Adobe PDF(2602Kb)  |  收藏  |  浏览/下载：305/71  |  提交时间：2022/11/28
Object detection  Feature extraction  Data models  Training  Knowledge engineering  Detectors  Computational modeling  Computer vision  Unsupervised Domain Adaptation  Teacher-student learning  Traffic object detection  
Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes 期刊论文
BMC Bioinformatics, 2022, 卷号: 23, 期号: 1, 页码: 23
作者:  Hong,Bei;  Liu,Jing;  Zhai,Hao;  Liu,Jiazheng;  Shen,Lijun;  Chen,Xi;  Xie,Qiwei;  Han,Hua
Adobe PDF(3091Kb)  |  收藏  |  浏览/下载：361/82  |  提交时间：2022/11/14
Connectomics  Reconstruction  Connectivity concept  Joint optimization  Electron microscope volumes  
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 21
作者:  Tao, Xian;  Gong, Xinyi;  Zhang, Xin;  Yan, Shaohua;  Adak, Chandranath
Adobe PDF(7056Kb)  |  收藏  |  浏览/下载：262/1  |  提交时间：2022/09/19
Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning  
Learning adversarial point-wise domain alignment for stereo matching 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 564-574
作者:  Zhang, Chenghao;  Meng, Gaofeng;  Xu, Richard Yi Da;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(3885Kb)  |  收藏  |  浏览/下载：344/55  |  提交时间：2022/09/19
Stereo Matching  Domain adaptation  Point-wise linear transformation  Adversarial learning  
Memory-Modulated Transformer Network for Heterogeneous Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2095-2109
作者:  Luo, Mandi;  Wu, Haoxue;  Huang, Huaibo;  He, Weizan;  He, Ran
Adobe PDF(4712Kb)  |  收藏  |  浏览/下载：377/131  |  提交时间：2022/07/25
Face recognition  Task analysis  Transformers  Encoding  Feature extraction  Image recognition  Memory modules  Heterogeneous face recognition  style transformer  memory network  
Toward few-shot domain adaptation with perturbation-invariant representation and transferable prototypes 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 3, 页码: 11
作者:  Fan, Junsong;  Wang, Yuxi;  Guan, He;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(4804Kb)  |  收藏  |  浏览/下载：310/54  |  提交时间：2022/06/10
domain adaptation  semantic segmentation  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, 2022, 2022, 卷号: 0, 0, 期号: 0, 页码: 0, 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：322/77  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1659-1666
作者:  Wei, Wei;  Li, Daheng;  Wang, Peng;  Li, Yiming;  Li, Wanyi;  Luo, Yongkang;  Zhong, Jun
Adobe PDF(3717Kb)  |  收藏  |  浏览/下载：256/11  |  提交时间：2022/03/17
Deep learning in grasping and manipulation  multifingered hands  computer vision for automation  point cloud completion  iterative refinement