CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
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:405/39  |  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  
An Iterative Co-Training Transductive Framework for Zero Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6943-6956
作者:  Liu, Bo;  Hu, Lihua;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(2452Kb)  |  收藏  |  浏览/下载:279/62  |  提交时间:2021/11/02
Visualization  Semantics  Training  Feature extraction  Testing  Detectors  Predictive models  Zero-shot learning  transductive learning co-training  
Attention-Based Pedestrian Attribute Analysis 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 12, 页码: 6126-6140
作者:  Zichang Tan;  Yang Yang;  Jun Wan;  Hanyuan Hang;  Guodong Guo;  Stan Z. Li
Adobe PDF(3457Kb)  |  收藏  |  浏览/下载:236/46  |  提交时间:2020/10/27
Pedestrian attribute analysis  attention mechanism  pedestrian parsing  
Robust Image Analysis With Sparse Representation on Quantized Visual Features 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 卷号: 22, 期号: 3, 页码: 860-871
作者:  Bao, Bing-Kun;  Zhu, Guangyu;  Shen, Jialie;  Yan, Shuicheng
Adobe PDF(460Kb)  |  收藏  |  浏览/下载:314/81  |  提交时间:2015/09/22
Image Classification  Quantized Visual Feature  Sparse Representation  
General Subspace Learning With Corrupted Training Data Via Graph Embedding 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 卷号: 22, 期号: 11, 页码: 4380-4393
作者:  Bao, Bing-Kun;  Liu, Guangcan;  Hong, Richang;  Yan, Shuicheng;  Xu, Changsheng
Adobe PDF(3715Kb)  |  收藏  |  浏览/下载:352/71  |  提交时间:2015/08/12
Subspace Learning  Corrupted Training Data  Discriminant Analysis  Graph Embedding