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The Model May Fit You: User-Generalized Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 24, 页码: 2998-3012
作者:  Ma, Xinhong;  Yang, Xiaoshan;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(6549Kb)  |  收藏  |  浏览/下载:262/49  |  提交时间:2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
Instance Aware Document Image Segmentation using Label Pyramid Networks and Deep Watershed Transformation 会议论文
, 澳大利亚悉尼国际会议中心(ICC), 2019-9
作者:  Li, Xiao-Hui;  Yin, Fei;  Xue, Tao;  Liu, Long;  Ogier, Jean-Marc;  Liu, Cheng-Lin
Adobe PDF(1690Kb)  |  收藏  |  浏览/下载:204/44  |  提交时间:2021/06/02
document image segmentation  instance segmentation  label pyramid network  deep watershed transformation  
Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks 期刊论文
Pattern Recognition, 2021, 卷号: 114, 期号: 114, 页码: 107859
作者:  Jun-Yu Ye;  Yan-Ming Zhang;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(1780Kb)  |  收藏  |  浏览/下载:326/89  |  提交时间:2021/03/30
Online handwritten documents  Stroke classification  Text line grouping  Graph neural networks  Edge pooling attention networks  
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:202/58  |  提交时间:2020/10/20
MuLTReNets  auto-weighter  Separable MDLSTM  multilingual handwritten text recognition  multi-task learning  
无权访问的条目 期刊论文
作者:  Xu, Ting-Bing;  Yang, Peipei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1571Kb)  |  收藏  |  浏览/下载:33/11  |  提交时间:2019/07/12
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:595/200  |  提交时间:2019/04/30
Computer vision  deep learning  object tracking  reinforcement learning