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:
Multi-Level Correlation Adversarial Hashing for Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3101-3114
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(4322Kb)  |  收藏  |  浏览/下载:341/66  |  提交时间:2021/03/01
Semantics  Correlation  Aircraft propulsion  Deep learning  Bridges  Aircraft  Task analysis  Cross-modal retrieval  adversarial hashing  multi-level correlation  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载:331/65  |  提交时间:2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning  
Show, Tell, and Polish: Ruminant Decoding for Image Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 8, 页码: 2149-2162
作者:  Guo, Longteng;  Liu, Jing;  Lu, Shichen;  Lu, Hanqing
Adobe PDF(4378Kb)  |  收藏  |  浏览/下载:232/36  |  提交时间:2020/08/31
Image captioning  Multi-pass decoding  Rumination  
Image Retargetability 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 3, 页码: 641-654
作者:  Tang, Fan;  Dong, Weiming;  Meng, Yiping;  Ma, Chongyang;  Wu, Fuzhang;  Li, Xinrui;  Lee, Tong-Yee
收藏  |  浏览/下载:311/0  |  提交时间:2020/06/02
Visualization  Task analysis  Distortion  Measurement  Image resolution  Convolutional neural networks  Semantics  Image retargetability  visual attributes  multi-task learning  deep convolutional neural network  
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 2, 页码: 380-393
作者:  Zhang, Shifeng;  Xie, Yiliang;  Wan, Jun;  Xia, Hansheng;  Li, Stan Z.;  Guo, Guodong
浏览  |  Adobe PDF(6651Kb)  |  收藏  |  浏览/下载:353/57  |  提交时间:2020/04/07
Benchmark testing  Detectors  Training  Urban areas  Cameras  Task analysis  Deep learning  Pedestrian detection  dataset  rich diversity  high density