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CASIA OpenIR
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Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 5167-5180
作者:  Zhang, Ruisong;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载：109/0  |  提交时间：2023/11/16
Visualization  Grounding  Task analysis  Sports equipment  Image reconstruction  Transformers  Training  Weakly supervised learning  visual grounding  cycle consistency  individual and contextual representations  
Adversarial training with distribution normalization and margin balance 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 136, 页码: 11
作者:  Cheng, Zhen;  Zhu, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
收藏  |  浏览/下载：245/0  |  提交时间：2023/01/09
Adversarial robustness  Adversarial training  Distribution normalization  Margin balance  
Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 132, 页码: 14
作者:  Li, Xiao-Hui;  Yin, Fei;  Dai, He-Sen;  Liu, Cheng-Lin
收藏  |  浏览/下载：242/0  |  提交时间：2022/11/14
Table detection  Table structure recognition  Template -free form parsing  Graph neural network  End -to -end training  
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载：339/35  |  提交时间：2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm  
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3137-3150
作者:  Wang, Mei;  Deng, Weihong;  Liu, Cheng-Lin
收藏  |  浏览/下载：225/0  |  提交时间：2022/06/10
Character recognition  Bones  Adaptation models  Training  Feature extraction  Writing  Transforms  Oracle character recognition  unsupervised domain adaptation  feature disentanglement  generative adversarial network  
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:  Xu, Ting-Bing;  Liu, Cheng-Lin
收藏  |  浏览/下载：191/0  |  提交时间：2022/02/16
Training  Nonlinear distortion  Data models  Neural networks  Knowledge engineering  Network architecture  Generalization error  network compression  representation invariance  self-distillation (SD)  
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 7, 页码: 3281-3293
作者:  Li, Jinpeng;  Qiu, Shuang;  Shen, Yuan-Yuan;  Liu, Cheng-Lin;  He, Huiguang
收藏  |  浏览/下载：292/0  |  提交时间：2020/08/03
Brain modeling  Electroencephalography  Emotion recognition  Data models  Training  Calibration  Training data  Brain-computer interface  emotion recognition  transfer learning (TL)  
Discriminative quadratic feature learning for handwritten Chinese character recognition 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 49, 期号: 1, 页码: 7-18
作者:  Zhou, Ming-Ke;  Zhang, Xu-Yao;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1397Kb)  |  收藏  |  浏览/下载：603/236  |  提交时间：2015/11/23
Handwritten Chinese Character Recognition  Discriminative Feature Learning  Quadratic Correlation  Dimensionality Promotion  Training Set Expansion  
Partial discriminative training for classification of overlapping classes in document analysis 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2008, 卷号: 11, 期号: 2, 页码: 53-65
作者:  Liu, Cheng-Lin
收藏  |  浏览/下载：189/0  |  提交时间：2015/11/08
Character Recognition  Overlapping Classes  Discriminative Training  Partial Discriminative Training  
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
浏览  |  Adobe PDF(751Kb)  |  收藏  |  浏览/下载：283/76  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition