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Deep Representation Learning With Part Loss for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2860-2871
Authors:  Yao, Hantao;  Zhang, Shiliang;  Hong, Richang;  Zhang, Yongdong;  Xu, Changsheng;  Tian, Qi
Favorite  |  View/Download:9/0  |  Submit date:2019/04/23
Person re-identification  representation learning  part lass networks  convolutional neural networks  
Salient object detection based on an efficient End-to-End Saliency Regression Network 期刊论文
NEUROCOMPUTING, 2019, 卷号: 323, 页码: 265-276
Authors:  Xi, Xuanyang;  Luo, Yongkang;  Wang, Peng;  Qiao, Hong
Favorite  |  View/Download:20/0  |  Submit date:2019/01/08
Salient object detection  Saliency regression  Deep convolutional neural networks  Fully convolutional networks  
Distant supervision for relation extraction with hierarchical selective attention 期刊论文
NEURAL NETWORKS, 2018, 卷号: 108, 页码: 240-247
Authors:  Zhou, Peng;  Xu, Jiaming;  Qi, Zhenyu;  Bao, Hongyun;  Chen, Zhineng;  Xu, Bo
View  |  Adobe PDF(663Kb)  |  Favorite  |  View/Download:89/46  |  Submit date:2018/10/09
Relation extraction  Distant supervision  Hierarchical attention  Piecewise convolutional neural networks  
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 145, 页码: 78-95
Authors:  Liu, Yongcheng;  Fan, Bin;  Wang, Lingfeng;  Bai, Jun;  Xiang, Shiming;  Pan, Chunhong
Favorite  |  View/Download:10/0  |  Submit date:2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end  
Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data 期刊论文
IEEE ACCESS, 2018, 期号: 6, 页码: 59001 - 59014
Authors:  Chengbao,Liu;  Jie, Tan;  Heyuan,Shi;  Xuelei,Wang
View  |  Adobe PDF(19745Kb)  |  Favorite  |  View/Download:19/5  |  Submit date:2019/04/30
Lithium-ion Cell Screening  Time-series Clustering  Resampling  Convolutional Neural Networks  
Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 9, 页码: 2513-2525
Authors:  Yang, Jufeng;  She, Dongyu;  Sun, Ming;  Cheng, Ming-Ming;  Rosin, Paul L.;  Wang, Liang
Favorite  |  View/Download:24/0  |  Submit date:2018/10/10
Affective Region  Convolutional Neural Networks  Sentiment Classification  Visual Sentiment Analysis  
Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis 会议论文
, Honolulu, Hawaii, USA, 2018-7
Authors:  Wang, Shuo;  Liu, Zhenyu;  Chen, Xi;  Zhu, Yongbei;  Zhou, Hongyu;  Tang, Zhenchao;  Wei, Wei;  Dong, Di;  Wang, Meiyun;  Tian, Jie
View  |  Adobe PDF(797Kb)  |  Favorite  |  View/Download:14/4  |  Submit date:2019/04/30
Lung Cancer  Survival Analysis  Deep Learning  Unsupervised Feature Learning  Convolutional Neural Networks  
Two-Step Quantization for Low-bit Neural Networks 会议论文
, Salt Lake City, 2018.06.18-2018.06.22
Authors:  Wang, Peisong;  Hu, Qinghao;  Zhang, Yifan;  Zhang, Chunjie;  Liu, Yang;  Cheng, Jian
View  |  Adobe PDF(105Kb)  |  Favorite  |  View/Download:390/159  |  Submit date:2018/05/05
Convolutional Neural Networks  Network Quantization  Ternary Quantization  
Auxiliary Demographic Information Assisted Age Estimation with Cascaded Structure 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 49, 期号: 9, 页码: 2531-2541
Authors:  Jun Wan;  Zichang Tan;  Zhen Lei;  Guodong Guo;  Stan Z. Li
View  |  Adobe PDF(8619Kb)  |  Favorite  |  View/Download:71/16  |  Submit date:2017/09/13
Convolutional Neural Networks  Gaussian Process Regression  Age Estimation  Demographic  
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2018, 卷号: 43, 期号: 43, 页码: 98-111
Authors:  Zhao, Xiaomei;  Wu, Yihong;  Song, Guidong;  Li, Zhenye;  Zhang, Yazhuo;  Fan, Yong
View  |  Adobe PDF(1963Kb)  |  Favorite  |  View/Download:59/12  |  Submit date:2018/01/04
Brain Tumor Segmentation  Fully Convolutional Neural Networks  Conditional Random Fields  Deep Learning