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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：77/0  |  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  
Convolutional Ordinal Regression Forest for Image Ordinal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Zhu, Haiping;  Shan, Hongming;  Zhang, Yuheng;  Che, Lingfu;  Xu, Xiaoyang;  Zhang, Junping;  Shi, Jianbo;  Wang, Fei-Yue
收藏  |  浏览/下载：205/0  |  提交时间：2022/01/27
Decision trees  Estimation  Task analysis  Forestry  Vegetation  Random forests  Support vector machines  Differentiable decision trees  image ordinal estimation  ordinal distribution learning  ordinal regression (OR)  random forest