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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：75/0  |  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  
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Tian, Yonglin;  Huang, Lichao;  Yu, Hui;  Wu, Xiangbin;  Li, Xuesong;  Wang, Kunfeng;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：190/0  |  提交时间：2022/01/27
Three-dimensional displays  Feature extraction  Convolution  Proposals  Kernel  Laser radar  Semantics  Point clouds  3D detection  dynamic network  context features