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Deep learning-based low overlap point cloud registration for complex scenario: The review 期刊论文
INFORMATION FUSION, 2024, 卷号: 107, 页码: 23
作者:  Zhao, Yuehua;  Zhang, Jiguang;  Xu, Shibiao;  Ma, Jie
收藏  |  浏览/下载:9/0  |  提交时间:2024/07/03
Point cloud registration  Low overlap  Dataset construction  Deep learning-based  Survey  
Content Based Deep Learning Image Retrieval: A Survey 会议论文
, Lingshui, China, 2023-12-14
作者:  Chi, Zhang;  JIe, Liu
Adobe PDF(504Kb)  |  收藏  |  浏览/下载:42/11  |  提交时间:2024/05/28
Content Based Image Retrieval  Deep Learning  Convolution Neural Network  
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(8541Kb)  |  收藏  |  浏览/下载:289/172  |  提交时间:2024/01/02
Content-based Transformer  deep learning  feature aggregator  local attention  point cloud classification  
Semantic Policy Network for Zero-Shot Object Goal Visual Navigation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 11, 页码: 7655-7662
作者:  Zhao, Qianfan;  Zhang, Lu;  He, Bin;  Liu, Zhiyong
Adobe PDF(1888Kb)  |  收藏  |  浏览/下载:147/18  |  提交时间:2023/12/21
Deep learning  path planning  reinforcement learning  vision-based navigation  
Neural texture transfer assisted video coding with adaptive up-sampling 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2022, 卷号: 107, 页码: 10
作者:  Yu, Li;  Chang, Wenshuai;  Quan, Weize;  Xiao, Jimin;  Yan, Dong-Ming;  Gabbouj, Moncef
收藏  |  浏览/下载:258/0  |  提交时间:2022/07/25
High-efficiency video coding (HEVC)  Reference-based super-resolution  Low bitrate  Video compression  Deep learning  Machine learning  
RVFace: Reliable Vector Guided Softmax Loss for Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2337-2351
作者:  Wang, Xiaobo;  Wang, Shuo;  Liang, Yanyan;  Gu, Liang;  Lei, Zhen
收藏  |  浏览/下载:297/0  |  提交时间:2022/06/06
Deep face recognition  noisy labels detection  margin-based softmax loss  mining-based softmax loss  discriminative feature learning  
A hybrid feature model and deep learning based fault diagnosis for unmanned aerial vehicle sensors 期刊论文
Neurocomputing, 2018, 卷号: 319, 期号: 2018, 页码: 155-163
作者:  Guo, Dingfei;  Zhong, Maiying
Adobe PDF(2685Kb)  |  收藏  |  浏览/下载:184/63  |  提交时间:2022/04/06
Model based fault diagnosis  Deep learning  Short-time fourier transform  Convolutional neural network  UAV sensors  
Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Yin, Yingjie;  Xu, De;  Wang, Xingang;  Zhang, Lei
收藏  |  浏览/下载:215/0  |  提交时间:2022/02/16
Feature extraction  Kernel  Object segmentation  Faces  Probabilistic logic  Learning systems  Image segmentation  Deep appearance learning  directional deep embedding learning  directional statistics-based learning  video object segmentation (VOS)  
Locally Linear Back-propagation Based Contribution for Nonlinear Process Fault Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 764-775
作者:  Jinchuan Qian;  Li Jiang;  Zhihuan Song
浏览  |  Adobe PDF(1474Kb)  |  收藏  |  浏览/下载:180/49  |  提交时间:2021/03/11
Auto-encoder (AE)  deep learning  fault diagnosis  locally linear model  nonlinear process  reconstruction based contribution (RBC)  
CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者:  Yuan, Yong;  Chen, Chen;  Hu, Xiyuan;  Peng, Silong
收藏  |  浏览/下载:311/0  |  提交时间:2021/03/08
entropy  image classification  learning (artificial intelligence)  neural nets  object detection  optimisation  quantisation (signal)  network structure  DNN  low-bit quantization  time-consuming training  compressor-based fast nonuniform quantization method  quantization model  post-training quantization methods  deep neural networks  network quantization  compressor-based nonuniform quantization  CNQ  Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression