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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：113/0  |  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  
A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455
作者:  Wang, Jiangong;  Shen, Tianyu;  Tian, Yonglin;  Wang, Yutong;  Gou, Chao;  Wang, Xiao;  Yao, Fei;  Sun, Changyin
Adobe PDF(2602Kb)  |  收藏  |  浏览/下载：326/73  |  提交时间：2022/11/28
Object detection  Feature extraction  Data models  Training  Knowledge engineering  Detectors  Computational modeling  Computer vision  Unsupervised Domain Adaptation  Teacher-student learning  Traffic object detection  
Student Modeling and Analysis in Adaptive Instructional Systems 期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 59359-59372
作者:  Liang, Jing;  Hare, Ryan;  Chang, Tianyu;  Xu, Fangli;  Tang, Ying;  Wang, Fei-Yue;  Peng, Shimeng;  Lei, Mingyu
收藏  |  浏览/下载：244/0  |  提交时间：2022/07/25
Adaptation models  Artificial intelligence  Predictive models  Analytical models  Adaptive systems  Ontologies  Mathematical models  Adaptive instructional systems  student modeling  multimodal learning analytics  
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3137-3150
作者:  Wang, Mei;  Deng, Weihong;  Liu, Cheng-Lin
收藏  |  浏览/下载：259/0  |  提交时间：2022/06/10
Character recognition  Bones  Adaptation models  Training  Feature extraction  Writing  Transforms  Oracle character recognition  unsupervised domain adaptation  feature disentanglement  generative adversarial network  
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Lu, Chao;  Lv, Chen;  Gong, Jianwei;  Wang, Wenshuo;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：277/0  |  提交时间：2022/06/10
Vehicles  Adaptation models  Data models  Hidden Markov models  Knowledge transfer  Transfer learning  Training  Driver behaviour  driver model adaptation  transfer learning  importance weight  
Margin-Based Adversarial Joint Alignment Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 4, 页码: 2057-2067
作者:  Zuo, Yukun;  Yao, Hantao;  Zhuang, Liansheng;  Xu, Changsheng
收藏  |  浏览/下载：307/0  |  提交时间：2022/06/10
Feature extraction  Adaptation models  Image reconstruction  Generative adversarial networks  Semisupervised learning  Data models  Training  Domain adaptation  joint alignment module  margin-based generative module  
Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1020-1030
作者:  Zuo, Yukun;  Yao, Hantao;  Zhuang, Liansheng;  Xu, Changsheng
收藏  |  浏览/下载：244/0  |  提交时间：2022/06/06
Noise measurement  Adaptation models  Predictive models  Reliability  Task analysis  Standards  Data models  Noisy domain adaptation  Seek common ground component  Reserve differences component