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Multimodal Unknown Surface Material Classification and Its Application to Physical Reasoning 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 7, 页码: 4406-4416
Authors:  Wei, Junhang;  Cui, Shaowei;  Hu, Jingyi;  Hao, Peng;  Wang, Shuo;  Lou, Zheng
Adobe PDF(3954Kb)  |  Favorite  |  View/Download:48/7  |  Submit date:2022/06/10
Robots  Convolutional neural networks  Visualization  Informatics  Feature extraction  Task analysis  Haptic interfaces  Auditory and haptic information  deep learning  multimodal fusion  physical reasoning  unknown surface material classification (USMC)  
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
Authors:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Pan, Chunhong
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Object detection  Active object detection  Deep reinforcement learning  Convolutional neural networks  
SCE-Net: Self- and Cross-Enhancement Network for Single-View Height Estimation and Semantic Segmentation 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 9, 页码: 22
Authors:  Xing, Siyuan;  Dong, Qiulei;  Hu, Zhanyi
Favorite  |  View/Download:17/0  |  Submit date:2022/07/25
height estimation  semantic segmentation  single aerial image  convolutional neural networks  multi-task learning  deep metric learning  
Adaptively Weighted k-Tuple Metric Network for Kinship Verification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
Authors:  Huang, Sheng;  Lin, Jingkai;  Huangfu, Luwen;  Xing, Yun;  Hu, Junlin;  Zeng, Daniel Dajun
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Measurement  Feature extraction  Task analysis  Faces  Deep learning  Convolutional neural networks  Genetics  Deep learning  kinship verification  metric learning  relation network (RN)  triplet loss  
Progressive polarization based reflection removal via realistic training data generation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 13
Authors:  Pang, Youxin;  Yuan, Mengke;  Fu, Qiang;  Ren, Peiran;  Yan, Dong-Ming
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Deep learning  Reflection removal  Polarization  Progressive network  Convolutional neural networks  
Incremental few-shot object detection via knowledge transfer 期刊论文
PATTERN RECOGNITION LETTERS, 2022, 卷号: 156, 页码: 67-73
Authors:  Feng, Hangtao;  Zhang, Lu;  Yang, Xu;  Liu, Zhiyong
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Machine learning  Convolutional neural networks  Transfer learning  Incremental few-shot object detection  
A Novel Deep Learning Bi-GRU-I Model for Real-Time Human Activity Recognition Using Inertial Sensors 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6164-6174
Authors:  Tong, Lina;  Ma, Hanghang;  Lin, Qianzhi;  He, Jiaji;  Peng, Liang
Favorite  |  View/Download:25/0  |  Submit date:2022/06/10
Sensors  Feature extraction  Deep learning  Inertial sensors  Data mining  Convolutional neural networks  Accelerometers  Human activity recognition (HAR)  inertial sensor  deep learning  Bi-GRU  inception architecture  
Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 6, 页码: 4788-4798
Authors:  Wang, Xiao;  Zhu, Yushan;  Han, Shuangshuang;  Yang, Linyao;  Gu, Haixia;  Wang, Fei-Yue
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Convolutional neural networks  Feature extraction  Machine learning algorithms  Deep learning  Global Positioning System  Scalability  Safety  Broad learning system (BLS)  incremental learning system  Internet of Vehicles (IoV)  misbehavior detection  ridge regression approximation  
Scribble-Supervised Video Object Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 339-353
Authors:  Peiliang Huang;  Junwei Han;  Nian Liu;  Jun Ren;  Dingwen Zhang
Adobe PDF(15349Kb)  |  Favorite  |  View/Download:48/2  |  Submit date:2021/11/03
Convolutional neural networks (CNNs)  scribble  self-attention  video object segmentation  weakly supervised  
Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 205-234
Authors:  Xin Liu;  Mingyu Yan;  Lei Deng;  Guoqi Li;  Xiaochun Ye;  Dongrui Fan
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Efficient training  graph convolutional networks (GCNs)  graph neural networks (GNNs)  sampling method