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14条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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：126/38  |  提交时间：2023/09/12
Class augmentation  generalization  confidence estimation  open-environment learning  
Texts as points: Scene text detection with point supervision 期刊论文
Pattern Recognition Letters, 2023, 卷号: 170, 页码: 1-8
作者:  Mengbiao Zhao;  Wei Feng;  Fei Yin;  Cheng-Lin Liu
Adobe PDF(1670Kb)  |  收藏  |  浏览/下载：140/41  |  提交时间：2023/06/28
Scene text detection  Point supervision  Mixed-supervised 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：320/35  |  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  
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
Adobe PDF(4242Kb)  |  收藏  |  浏览/下载：422/189  |  提交时间：2020/10/28
Scene text spotting  Arbitrary shapes  Bottom-up  Top-down  Residual dual scale  
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：327/106  |  提交时间：2020/10/27
Short Text  Classification  Clustering  Convolutional Neural Network  Semantic Units  Word Embeddings  
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：589/199  |  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：671/272  |  提交时间：2018/01/16
Fine-grained Recognition  Convolutional Neural Networks  Bilinear Pooling  Local Parts  Global Discrimination  
SDE: A novel selective, discriminative and equalizing feature representation for visual recognition 期刊论文
International Journal of Computer Vision (IJCV), 2017, 卷号: 124, 期号: 2, 页码: 145~168
作者:  Guo-Sen Xie;  Xu-Yao Zhang;  Shuicheng Yan;  Cheng-Lin Liu
浏览  |  Adobe PDF(5169Kb)  |  收藏  |  浏览/下载：310/67  |  提交时间：2018/01/16
Convolutional Neural Network · Feature Learning · Pooling · Bag Of Words · Bilevel Optimization  
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
浏览  |  Adobe PDF(2774Kb)  |  收藏  |  浏览/下载：509/158  |  提交时间：2018/01/05
Traffic Sign Detection  Cascade System  Fast Feature Extraction  Saliency Test  
Building Regional Covariance Descriptors for Vehicle Detection 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 4, 页码: 524-528
作者:  Chen, Xueyun;  Gong, Ren-Xi;  Xie, Ling-Ling;  Xiang, Shiming;  Liu, Cheng-Lin;  Pan, Chun-Hong
浏览  |  Adobe PDF(1623Kb)  |  收藏  |  浏览/下载：373/113  |  提交时间：2017/09/12
Deep Convolutional Neural Networks (Dcnns)  Regional Covariance Descriptor (Rcd)  Vehicle Detection