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Deep representation learning for domain generalization with information bottleneck principle 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 12
作者:  Zhang, Jiao;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载:108/0  |  提交时间:2023/11/17
Domain generalization  Information bottleneck  Representation learning  
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:246/0  |  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:244/0  |  提交时间:2022/11/14
Table detection  Table structure recognition  Template -free form parsing  Graph neural network  End -to -end training  
Towards prior gap and representation gap for long-tailed recognition 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Zhang, Ming-Liang;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载:271/0  |  提交时间:2022/11/14
Long-tailed learning  Prior gap  Representation gap  Image recognition  
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:348/36  |  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  
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载:287/77  |  提交时间:2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
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)  
Adaptive Scaling for Archival Table Structure Recognition 会议论文
, Lausanne, Switzerland, 2021-9
作者:  Li, Xiao-Hui;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(10070Kb)  |  收藏  |  浏览/下载:369/83  |  提交时间:2021/07/01
Archival document  Table detection  Table structure recognition  Adaptive scaling  
Page Segmentation Using Convolutional Neural Network and Graphical Model 会议论文
, 视频会议, 2020-7
作者:  Li, Xiao-Hui;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(6979Kb)  |  收藏  |  浏览/下载:188/52  |  提交时间:2021/06/02
Page segmentation  Conditional random field  Feature pyramid network  Graph attention network  
Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering 会议论文
, 中国北京国家会议中心, 2018-8
作者:  Li, Xiao-Hui;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(2450Kb)  |  收藏  |  浏览/下载:179/62  |  提交时间:2021/06/02
page object detection  deep learning  structured prediction  supervised clustering