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CASIA OpenIR
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Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：406/89  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
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, 期号: 1, 页码: 78-95
作者:  Liu, Yongcheng;  Fan, Bin;  Wang, Lingfeng;  Bai, Jun;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：480/99  |  提交时间：2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end  
Vision-Based Occlusion Handling and Vehicle Classification for Traffic Surveillance Systems 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 卷号: 10, 期号: 2, 页码: 80-92
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(789Kb)  |  收藏  |  浏览/下载：449/167  |  提交时间：2018/01/16
Visual Occlusion  Recursive Segmentation  Vehicle Classification  Deep Convolutional Neural Network  
Deep unsupervised learning with consistent inference of latent representations 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 77, 期号: 5, 页码: 438-453
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2654Kb)  |  收藏  |  浏览/下载：448/171  |  提交时间：2018/01/16
Deep Unsupervised Learning  Consistent Inference Of Latent Representations  
Learning Deep Vector Regression Model for No-reference Image Quality Assessment 会议论文
, New Orleans, USA, March 5-9, 2017
作者:  Jie, Gu;  Gaofeng, Meng;  Lingfeng, Wang;  Chunhong, Pan
浏览  |  Adobe PDF(881Kb)  |  收藏  |  浏览/下载：343/144  |  提交时间：2017/09/15
Image quality assessment  perceptual image quality  CNN  vector regression  saliency-based pooling