CASIA OpenIR

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:
Towards Prior Gap and Representation Gap for Long-tailed Recognition, Pattern Recognition 期刊论文
Pattern Recognition, 2023, 卷号: 133, 期号: 109012, 页码: 109012
作者:  Zhang Ming-Liang;  Zhang Xu-Yao;  Wang Chang;  Liu Cheng-Lin
Adobe PDF(2258Kb)  |  收藏  |  浏览/下载:125/31  |  提交时间:2024/04/03
Long-tailed learning  Prior gap  Representation gap  Image recognition  
Towards fast and kernelized orthogonal discriminant analysis on person re-identification 期刊论文
Pattern Recognition, 2019, 期号: 94, 页码: 218-229
作者:  Min Cao;  Chen Chen;  Xiyuan Hu;  Silong Peng
浏览  |  Adobe PDF(1700Kb)  |  收藏  |  浏览/下载:323/111  |  提交时间:2019/09/10
Person Re-identificationmetric Learningsingularity Problemorthogonal Discriminant Analysis  
A comprehensive study on gait biometrics using a joint CNN-based method 期刊论文
Pattern Recognition, 2019, 期号: 2019,93, 页码: 228-236
作者:  Yuqi Zhang;  Yongzhen Huang;  Liang Wang;  Shiqi Yu
浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载:526/187  |  提交时间:2019/04/30
Gait Recognition  Soft Biometrics  Joint Learning  Network Visualization  
Asymmetric 3D Convolutional Neural Networks for action recognition 期刊论文
Pattern Recognition, 2019, 卷号: 85, 期号: 1, 页码: 1-12
作者:  Yang H(杨浩);  Yuan CF(原春峰);  Li B(李兵);  Du Y(杜杨);  Xing JL(兴军亮);  Hu WM(胡卫明);  Stephen J. Maybank
浏览  |  Adobe PDF(2689Kb)  |  收藏  |  浏览/下载:441/154  |  提交时间:2019/04/30
Asymmetric 3d Convolution  Micronets  3d-cnn  Action Recognition  
Spatiotemporal Distilled Dense-Connectivity Network for Video Action Recognition 期刊论文
Pattern Recognition, 2019, 卷号: 10, 期号: 20, 页码: 100-130
作者:  Wangli Hao;  Zhaoxiang Zhang
浏览  |  Adobe PDF(2496Kb)  |  收藏  |  浏览/下载:440/155  |  提交时间:2019/04/19
Two-stream  Action Recognition  Dense-connectivity  Knowledge Distillation  
Detection guided deconvolutional network for hierarchical feature learning 期刊论文
Pattern Recognition, 2015, 卷号: 48, 期号: 8, 页码: 2645-2655
作者:  Liu, Jing;  Liu, Bingyuan;  Lu, Hanqing
浏览  |  Adobe PDF(2401Kb)  |  收藏  |  浏览/下载:296/77  |  提交时间:2016/03/30