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CASIA OpenIR
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Towards Prior Gap and Representation Gap for Long-tailed Recognition, Pattern Recognition 期刊论文
Pattern Recognition, 2023, 卷号: 133, 期号: 109012, 页码: 109012
作者:  Zhang Ming-Liang;  Zhang Xu-Yao;  Wang Chang;  Liu Cheng-Lin
Adobe PDF(2258Kb)  |  收藏  |  浏览/下载：106/23  |  提交时间：2024/04/03
Long-tailed learning  Prior gap  Representation gap  Image recognition  
Learning by Seeing More Classes 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 卷号: 45, 期号: 6, 页码: 7477-7493
作者:  Fei Zhu;  Xu-Yao Zhang;  Rui-Qi Wang;  Cheng-Lin Liu
Adobe PDF(2561Kb)  |  收藏  |  浏览/下载：162/48  |  提交时间：2023/09/12
Class augmentation  generalization  confidence estimation  open-environment learning  
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：431/40  |  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  
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594
作者:  Yun, Xiao-Long;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(3236Kb)  |  收藏  |  浏览/下载：304/1  |  提交时间：2022/07/25
Handwriting recognition  Task analysis  Grammar  Semantics  Image segmentation  Trajectory  Text recognition  Online handwritten diagram recognition  symbol segmentation  symbol recognition  freehand sketch analysis  graph neural networks  
Handwritten Mathematical Expression Recognition via Paired Adversarial Learning 期刊论文
International Journal of Computer Vision, 2020, 卷号: 128, 期号: 128, 页码: 2386-2401
作者:  Jin-Wen Wu;  Fei Yin;  Yan-Ming Zhang;  Xu-Yao Zhang;  Cheng-Lin Liu
浏览  |  Adobe PDF(1941Kb)  |  收藏  |  浏览/下载：379/94  |  提交时间：2020/10/20
Handwritten ME recognition  Paired adversarial learning  Semantic-invariant features  Convolutional decoder  Coverage of decoding  
MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 107555, 页码: 11
作者:  Chen, Zhuo;  Yin, Fei;  Zhang, Xu-Yao;  Yang, Qing;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2483Kb)  |  收藏  |  浏览/下载：214/63  |  提交时间：2020/10/20
MuLTReNets  auto-weighter  Separable MDLSTM  multilingual handwritten text recognition  multi-task learning  
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
Adobe PDF(2274Kb)  |  收藏  |  浏览/下载：313/1  |  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)  
Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition 期刊论文
IEEE Transactions Cybernetics, 2019, 期号: online, 页码: online
作者:  Jinpeng Li;  Shuang Qiu;  Yuan-Yuan Shen;  Cheng-Lin Liu;  Huiguang He
Adobe PDF(3564Kb)  |  收藏  |  浏览/下载：798/356  |  提交时间：2019/05/09
Brain-computer Interface, Emotion Recognition, Transfer Learning  
Decision Controller for Object Tracking With Deep Reinforcement Learning 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 28069-28079
作者:  Zhong, Zhao;  Yang, Zichen;  Feng, Weitao;  Wu, Wei;  Hu, Yangyang;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2984Kb)  |  收藏  |  浏览/下载：618/207  |  提交时间：2019/04/30
Computer vision  deep learning  object tracking  reinforcement learning  
LG-CNN: From local parts to global discrimination for fine-grained recognition 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 71, 期号: 71, 页码: 118-131
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Yang, Wenhan;  Xu, Mingliang;  Yan, Shuicheng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2717Kb)  |  收藏  |  浏览/下载：693/275  |  提交时间：2018/01/16
Fine-grained Recognition  Convolutional Neural Networks  Bilinear Pooling  Local Parts  Global Discrimination