CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
A General Framework for Deep Supervised Discrete Hashing 期刊论文
International Journal of Computer Vision, 2020, 页码: 2204-2222
作者:  Li, Qi;  Sun, Zhenan;  He, Ran;  Tan, Tieniu
Adobe PDF(1007Kb)  |  收藏  |  浏览/下载:145/48  |  提交时间:2024/02/23
Instance Guided Proposal Network for Person Search 会议论文
, Virtual Site, June 16 - 18, 2020
作者:  Dong, Wenkai;  Zhang, Zhaoxiang;  Song, Chunfeng;  Tan, Tieniu
Adobe PDF(777Kb)  |  收藏  |  浏览/下载:167/35  |  提交时间:2022/06/14
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels 会议论文
, 美国, 2020
作者:  Peng, Junran;  Bu, Xingyuan;  Sun, Ming;  Zhang, Zhaoxiang;  Tan, Tieniu;  Yan, Junjie
浏览  |  Adobe PDF(4727Kb)  |  收藏  |  浏览/下载:281/46  |  提交时间:2021/01/19
Object detection  Large-scale recognition  Multi-label recognition  
Kinematic skeleton graph augmented network for human parsing 期刊论文
NEUROCOMPUTING, 2020, 卷号: 413, 页码: 457-470
作者:  Liu, Jinde;  Zhang, Zhang;  Shan, Caifeng;  Tan, Tieniu
收藏  |  浏览/下载:215/0  |  提交时间:2021/01/07
Image segmentation  Human parsing  Deeplab V3+  Kinematic skeleton graph  Human parsing dataset  
Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 107, 期号: 107511, 页码: 12
作者:  Si, Chenyang;  Jing, Ya;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2378Kb)  |  收藏  |  浏览/下载:391/74  |  提交时间:2020/08/31
Skeleton-based action recognition  Hierarchical spatial reasoning  Temporal stack learning  Clip-based incremental loss  
Deep Unbiased Embedding Transfer for Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 29, 页码: 1958-1971
作者:  Jia, Zhen;  Zhang, Zhang;  Wang, Liang;  Shan, Caifeng;  Tan, Tieniu
浏览  |  Adobe PDF(3428Kb)  |  收藏  |  浏览/下载:428/72  |  提交时间:2020/03/30
Visualization  Feature extraction  Semantics  Training  Seals  Prototypes  Indexes  Zero-shot learning  image classification  projection domain shift  convolutional neural network  generative adversarial network