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CASIA OpenIR
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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：133/40  |  提交时间：2023/09/12
Class augmentation  generalization  confidence estimation  open-environment learning  
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  
Decision-based adversarial attack with frequency mixup 期刊论文
IEEE Trans. Information Forensics and Security (TIFS), 2022, 期号: 17, 页码: 1038-1052
作者:  Xiu-Chuan Li;  Xu-Yao Zhang;  Fei Yin;  Cheng-Lin Liu
Adobe PDF(5863Kb)  |  收藏  |  浏览/下载：232/48  |  提交时间：2022/04/07
Decision-based attack , detection , frequency domain  
Convolutional Prototype Network for Open Set Recognition 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 卷号: 44, 期号: 5, 页码: 2358-2370
作者:  Hong-Ming Yang;  Xu-Yao Zhang;  Fei Yin;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(5038Kb)  |  收藏  |  浏览/下载：360/74  |  提交时间：2021/06/02
open-set recognition  CNN  prototype model  unknown detection  discriminative model  generative model  
Residual Dual Scale Scene Text Spotting by Fusing Bottom-Up and Top-Down Processing 期刊论文
International Journal of Computer Vision, 2020, 卷号: 1, 期号: 38, 页码: 1872–1885
作者:  Wei Feng;  Fei Yin;  Xu-Yao Zhang;  Wenhao He;  Cheng-Lin Liu
浏览  |  Adobe PDF(4242Kb)  |  收藏  |  浏览/下载：428/192  |  提交时间：2020/10/28
Scene text spotting  Arbitrary shapes  Bottom-up  Top-down  Residual dual scale  
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：597/201  |  提交时间：2019/04/30
Computer vision  deep learning  object tracking  reinforcement learning  
Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 卷号: 18, 期号: 12, 页码: 3290-3302
作者:  Wang, Dongdong;  Hou, Xinwen;  Xu, Jiawei;  Yue, Shigang;  Liu, Cheng-Lin;  Cheng-Lin Liu
Adobe PDF(2774Kb)  |  收藏  |  浏览/下载：515/158  |  提交时间：2018/01/05
Traffic Sign Detection  Cascade System  Fast Feature Extraction  Saliency Test  
Drawing and Recognizing Chinese Characters with Recurrent Neural Network 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 849-862
作者:  Zhang, Xu-Yao;  Yin, Fei;  Zhang, Yan-Ming;  Liu, Cheng-Lin;  Bengio, Yoshua
浏览  |  Adobe PDF(824Kb)  |  收藏  |  浏览/下载：612/266  |  提交时间：2017/09/16
Recurrent Neural Network  Lstm  Gru  Discriminative Model  Generative Model  Handwriting  
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：287/78  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition  
Geometry preserving multi-task metric learning 期刊论文
MACHINE LEARNING, 2013, 卷号: 92, 期号: 1, 页码: 133-175
作者:  Yang, Peipei;  Huang, Kaizhu;  Liu, Cheng-Lin
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载：319/60  |  提交时间：2015/08/12
Multi-task Learning  Metric Learning  Geometry Preserving  Von Neumann Divergence  Bregman Matrix Divergence