CSpace

浏览/检索结果: 共3条,第1-3条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Wild Animal Information Collection Based on Depthwise Separable Convolution in Software Defined IoT Networks 期刊论文
ELECTRONICS, 2021, 卷号: 10, 期号: 17, 页码: 16
作者:  Cao, Qinghua;  Yu, Lisu;  Wang, Zhen;  Zhan, Shanjun;  Quan, Hao;  Yu, Yan;  Khan, Zahid;  Koubaa, Anis
收藏  |  浏览/下载:34/0  |  提交时间:2021/12/01
information collection  internet of things  deep neural network  SDN  object detection  
A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 21
作者:  Huang, Di;  Zhang, Rui;  Zhang, Xishan;  Wu, Fan;  Wang, Xianzhuo;  Jin, Pengwei;  Liu, Shaoli;  Li, Ling;  Chen, Yunji
收藏  |  浏览/下载:35/0  |  提交时间:2021/12/01
Convolution neural networks  Model acceleration  Winograd algorithm  Video analysis  
Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2917-2929
作者:  Zhang, Yanchao;  Min, Weiqing;  Nie, Liqiang;  Jiang, Shuqiang
收藏  |  浏览/下载:38/0  |  提交时间:2021/12/01
Visualization  Feature extraction  Convolution  Streaming media  Object oriented modeling  Three-dimensional displays  Neural networks  Feature extraction  knowledge representation  supervised learning  video signal processing