中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共4条，第1-4条 帮助

限定条件                                    
已选(0)清除 条数/页：   排序方式：
ParaUDA: Invariant Feature Learning With Auxiliary Synthetic Samples for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 11, 页码: 20217-20229
作者:  Zhang, Wenwen;  Wang, Jiangong;  Wang, Yutong;  Wang, Fei-Yue
收藏  |  浏览/下载：103/0  |  提交时间：2023/03/20
Adaptation models  Representation learning  Feature extraction  Task analysis  Semantics  Generative adversarial networks  Object detection  Object detection  unsupervised domain adaptation  distribution alignment  domain-invariant representation  
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：166/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
Frequency Feature Pyramid Network With Global-Local Consistency Loss for Crowd-and-Vehicle Counting in Congested Scenes 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 卷号: 23, 期号: 7, 页码: 9654-9664
作者:  Yu, Xiaoyuan;  Liang, Yanyan;  Lin, Xuxin;  Wan, Jun;  Wang, Tian;  Dai, Hong-Ning
收藏  |  浏览/下载：223/0  |  提交时间：2022/11/14
Context prediction  frequency feature pyramid  discrete cosine transformation  global-local consistency loss  
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：210/0  |  提交时间：2022/07/25
Roads  Correlation  Feature extraction  Sensors  Deep learning  Convolution  Sensor phenomena and characterization  Traffic forecasting  graph convolutional network  spatial-temporal networks