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:
Temporal-adaptive sparse feature aggregation for video object detection 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 127, 页码: 108587
作者:  He, Fei;  Li, Qiaozhe;  Zhao, Xin;  Huang, Kaiqi
Adobe PDF(1549Kb)  |  收藏  |  浏览/下载:347/47  |  提交时间:2022/06/10
Video object detection  Temporal-adaptive sparse sampling  Pixel-adaptive aggregation  Object-relational aggregation  
Proxy Graph Matching with Proximal Matching Networks 会议论文
, 线上远程会议, 2021-2-7
作者:  Tan HR(檀昊儒);  Wang C(王闯);  Wu ST(吴思彤);  Wang TQ(王铁强);  Zhang XY(张煦尧);  Liu CL(刘成林)
Adobe PDF(423Kb)  |  收藏  |  浏览/下载:286/75  |  提交时间:2021/07/01
Graph Matching  Combinatorial Optimization  Deep Learning  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载:316/71  |  提交时间:2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
Long video question answering: A Matching-guided Attention Model 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 102, 期号: 1, 页码: 11
作者:  Wang, Weining;  Huang, Yan;  Wang, Liang
浏览  |  Adobe PDF(1963Kb)  |  收藏  |  浏览/下载:397/80  |  提交时间:2020/06/02
Long video QA  Matching-guided attention  
GaitNet: An end-to-end network for gait based human identification 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 106988, 页码: 11
作者:  Song, Chunfeng;  Huang, Yongzhen;  Huang, Yan;  Jia, Ning;  Wang, Liang
浏览  |  Adobe PDF(3015Kb)  |  收藏  |  浏览/下载:643/168  |  提交时间:2019/12/16
Gait recognition  Video-based human identification  End-to-end CNN  Joint learning  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(9244Kb)  |  收藏  |  浏览/下载:372/49  |  提交时间:2019/09/30
Visual tracking  deep learning  sampling and regression