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CASIA OpenIR
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Distribution Unified and Probability Space Aligned Teacher-Student Learning for Imbalanced Visual Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 4, 页码: 2414-2425
作者:  Zhang, Shaoyu;  Chen, Chen;  Xie, Qiong;  Sun, Haigang;  Dong, Fei;  Peng, Silong
收藏  |  浏览/下载：4/0  |  提交时间：2024/05/30
Training  Predictive models  Smoothing methods  Data models  Visualization  Training data  Sun  Class-imbalanced learning  distribution mismatch  probability space mismatch  teacher-student learning  
Balanced knowledge distillation for long-tailed learning 期刊论文
NEUROCOMPUTING, 2023, 卷号: 527, 页码: 36-46
作者:  Zhang, Shaoyu;  Chen, Chen;  Hu, Xiyuan;  Peng, Silong
收藏  |  浏览/下载：117/0  |  提交时间：2023/11/17
Long-tailed learning  Knowledge distillation  Vision and text classification  
Partner learning: A comprehensive knowledge transfer for vehicle re-identification 期刊论文
Neurocomputing, 2022, 期号: 40, 页码: 89-98
作者:  Wen Qian;  Chen Chen;  Silong Peng
Adobe PDF(4550Kb)  |  收藏  |  浏览/下载：125/42  |  提交时间：2023/06/07
车辆重识别  
A landmark-free approach for automatic, dense and robust correspondence of 3D faces 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 14
作者:  Fan, Zhenfeng;  Hu, Xiyuan;  Chen, Chen;  Wang, Xiaolian;  Peng, Silong
收藏  |  浏览/下载：230/0  |  提交时间：2022/11/14
3D face  Dense correspondence  Non -rigid registration  
Navigating Diverse Salient Features for Vehicle Re-Identification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 10
作者:  Qian, Wen;  He, Zhiqun;  Chen, Chen;  Peng, Silong
Adobe PDF(795Kb)  |  收藏  |  浏览/下载：292/56  |  提交时间：2022/09/19
Navigation  Task analysis  Image color analysis  Boosting  Feature extraction  Benchmark testing  Space vehicles  Vehicle re-identification  suppress-and-explore mode  grid-based salient navigation  cross-space constraints  
Regularizing deep networks with label geometry for accurate object localization on small training datasets 期刊论文
PATTERN RECOGNITION LETTERS, 2022, 卷号: 154, 页码: 53-59
作者:  Wang, Xiaolian;  Hu, Xiyuan;  Chen, Chen;  Peng, Silong
Adobe PDF(1455Kb)  |  收藏  |  浏览/下载：304/68  |  提交时间：2022/06/10
Object detection  Object localization  Label geometry  Box evolution  Small dataset  Human-machine interaction  
Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 5, 页码: 23
作者:  Rahman, Md Habibur;  Rana, Humayan Kabir;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Quinn, Julian M. W.;  Moni, Mohammad Ali
收藏  |  浏览/下载：228/0  |  提交时间：2021/12/28
bioinformatics  machine learning  central nervous system disorders  glioblastoma  comorbidity  pathway  ontology  proteins  survival analysis  
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1239-1251
作者:  Cao, Min;  Chen, Chen;  Dou, Hao;  Hu, Xiyuan;  Peng, Silong;  Kuijper, Arjan
收藏  |  浏览/下载：262/0  |  提交时间：2021/06/07
Probes  Feature extraction  Computational complexity  Visualization  Manifolds  Context modeling  Training  Contextual information  person re-identification  post-processing  
CNQ:Compressor-Based Non-uniform Quantization of Deep Neural Networks 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：191/0  |  提交时间：2021/03/15
Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression  
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：283/0  |  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