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浏览/检索结果: 共23条，第1-10条 帮助 限定条件 发表日期：2023    内容类型：期刊论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14 作者:  Qi, Xingqun;  Sun, Muyi;  Wang, Zijian;  Liu, Jiaming;  Li, Qi 收藏  |  浏览/下载：0/0  |  提交时间：2024/02/22 Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)   Deep representation learning for domain generalization with information bottleneck principle 期刊论文 PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 12 作者:  Zhang, Jiao;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin 收藏  |  浏览/下载：7/0  |  提交时间：2023/11/17 Domain generalization  Information bottleneck  Representation learning   Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13 作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Xiao, Jun 收藏  |  浏览/下载：3/0  |  提交时间：2023/12/21 Detailed representation transfer  lung nodules segmentation  medical images segmentation  soft mask   Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文 COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11 作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie 收藏  |  浏览/下载：7/0  |  提交时间：2023/11/16 Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework   Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection 期刊论文 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 卷号: 27, 期号: 8, 页码: 4166-4177 作者:  Hu, Kun;  Mei, Shaohui;  Wang, Wei;  Martens, Kaylena A. Ehgoetz;  Wang, Liang 收藏  |  浏览/下载：8/0  |  提交时间：2023/11/17 Adversarial learning  deep learning  freezing of gait detection  footstep pressure  parkinson's disease   Boosting deep cross-modal retrieval hashing with adversarially robust training 期刊论文 APPLIED INTELLIGENCE, 2023, 页码: 13 作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun 收藏  |  浏览/下载：3/0  |  提交时间：2023/11/17 Cross-modal retrieval  Adversarial training  Deep hashing model  Deep neural network   Contrastive Adversarial Training for Multi-Modal Machine Translation 期刊论文 ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 卷号: 22, 期号: 6, 页码: 157:1-18 作者:  Huang X(黄鑫);  Zhang JJ(张家俊);  Zong CQ(宗成庆) 收藏  |  浏览/下载：11/0  |  提交时间：2023/06/26 contrastive learning  adversarial training  multi-modal machine translation   Multi-level consistency regularization for domain adaptive object detection 期刊论文 NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 16 作者:  Tian, Kun;  Zhang, Chenghao;  Wang, Ying;  Xiang, Shiming 收藏  |  浏览/下载：0/0  |  提交时间：2023/11/17 Consistency regularization  Object detection  Domain adaptation   ParallelEye Pipeline: An Effective Method to Synthesize Images for Improving the Visual Intelligence of Intelligent Vehicles 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 12 作者:  Li, Xuan;  Wang, Kunfeng;  Gu, Xianfeng;  Deng, Fang;  Wang, Fei-Yue 收藏  |  浏览/下载：4/0  |  提交时间：2023/11/17 Annotations  Pipelines  Autonomous vehicles  Generative adversarial networks  Task analysis  Semantics  Visualization  Generative adversarial network (GAN)  intelligent vehicles  object detection  simulated scene  synthetic image   Robust Monitor for Industrial IoT Condition Prediction 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629 作者:  Zhang, Xingwei;  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Dajun 收藏  |  浏览/下载：7/0  |  提交时间：2023/11/17 Perturbation methods  Monitoring  Industrial Internet of Things  Training  Predictive models  Robustness  Temperature sensors  Adversarial perturbation  adversarial training  Industrial Internet of Things (IIoT)  machine learning (ML)  temporal convolutional network (TCN)