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SSAP: Single-Shot Instance Segmentation With Affinity Pyramid 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 2, 页码: 661-673
作者:  Gao, Naiyu;  Shan, Yanhu;  Wang, Yupei;  Zhao, Xin;  Huang, Kaiqi
Adobe PDF(4190Kb)  |  收藏  |  浏览/下载：289/47  |  提交时间：2021/03/29
Instance segmentation  panoptic segmentation  pixel-pair affinity  graph partition  
Image Class Prediction by Joint Object, Context, and Background Modeling 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 卷号: 28, 期号: 2, 页码: 428-438
作者:  Zhang, Chunjie;  Zhu, Guibo;  Liang, Chao;  Zhang, Yifan;  Huang, Qingming;  Tian, Qi
浏览  |  Adobe PDF(2826Kb)  |  收藏  |  浏览/下载：505/177  |  提交时间：2017/09/14
Background Modeling  Context Modeling  Image Class Prediction  Object Modeling  
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 6, 页码: 1263-1274
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Yan, Shuicheng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(5307Kb)  |  收藏  |  浏览/下载：539/165  |  提交时间：2016/07/14
Convolutional Neural Networks (Cnns)  Dictionary  Domain ADaptation (Da)  Fisher Vector  Part Learning  Scene Recognition  
Scene Text Recognition Using Structure-Guided Character Detection and Linguistic Knowledge 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2014, 卷号: 24, 期号: 7, 页码: 1235-1250
作者:  Shi, CZ;  Wang, CH;  Xiao, BH;  Gao, S;  Hu, JL;  Wang Chunheng
浏览  |  Adobe PDF(2421Kb)  |  收藏  |  浏览/下载：283/74  |  提交时间：2015/08/12
Character Recognition  Cropped Word Recognition  Part-based Tree-structured Models (Tsms)  
Boosted Exemplar Learning for Action Recognition and Annotation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2011, 卷号: 21, 期号: 7, 页码: 853-866
作者:  Zhang, Tianzhu;  Liu, Jing;  Liu, Si;  Xu, Changsheng;  Lu, Hanqing
浏览  |  Adobe PDF(2004Kb)  |  收藏  |  浏览/下载：307/70  |  提交时间：2015/08/12
Action Annotation  Action Recognition  Adaboost  Mi-svm  Multiple Instance Learning (Mil)