中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共13条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
SignParser: An End-to-End Framework for Traffic Sign Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 卷号: 132, 期号: 2, 页码: 805-821
作者:  Guo, Yunfei;  Feng, Wei;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(7011Kb)  |  收藏  |  浏览/下载：100/1  |  提交时间：2023/12/21
Traffic sign understanding  Content reasoning  Semantic description generation  
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 1-7
作者:  Wang RQ(王瑞琪);  Zhang XY(张煦尧);  Liu CL(刘成林)
Adobe PDF(1403Kb)  |  收藏  |  浏览/下载：250/50  |  提交时间：2022/01/27
domain-agnostic few-shot recognition  image classification  meta-learning  prototypical learning  
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：333/91  |  提交时间：2021/03/30
Online handwritten documents  Stroke classification  Text line grouping  Graph neural networks  Edge pooling attention networks  
Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification 期刊论文
NEUROCOMPUTING, 2016, 卷号: 174, 期号: 2016, 页码: 806-814
作者:  Wang, Peng;  Xu, Bo;  Xu, Jiaming;  Tian, Guanhua;  Liu, Cheng-Lin;  Hao, Hongwei
浏览  |  Adobe PDF(1127Kb)  |  收藏  |  浏览/下载：339/108  |  提交时间：2020/10/27
Short Text  Classification  Clustering  Convolutional Neural Network  Semantic Units  Word Embeddings  
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：363/90  |  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：207/60  |  提交时间：2020/10/20
MuLTReNets  auto-weighter  Separable MDLSTM  multilingual handwritten text recognition  multi-task learning  
Multi-branch guided attention network for irregular text recognition 期刊论文
Neurocomputing, 2020, 卷号: 425, 期号: 0, 页码: 0
作者:  Wang, Cong;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：229/61  |  提交时间：2020/07/16
Irregular text recognition, Mutual guidance, Multi-branch guided attention network (MBAN)  
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：606/204  |  提交时间：2019/04/30
Computer vision  deep learning  object tracking  reinforcement learning  
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：626/271  |  提交时间：2017/09/16
Recurrent Neural Network  Lstm  Gru  Discriminative Model  Generative Model  Handwriting  
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 2017, 期号: 65, 页码: 251-264
作者:  Wu, Yi-Chao;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(1290Kb)  |  收藏  |  浏览/下载：1173/508  |  提交时间：2017/02/18
Handwritten Chinese Text Recognition  Feedforward Neural Network Language Model  Recurrent Neural Network Language Model  Hybrid Language Model  Convolutional Neural Network Shape Models