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Towards Corruption-Agnostic Robust Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 4, 页码: 16
Authors:  Xu, Yifan;  Sheng, Kekai;  Dong, Weiming;  Wu, Baoyuan;  Xu, Changsheng;  Hu, Bao-Gang
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Domain adaptation  corruption robustness  transfer learning  
Health-Conscious vehicle battery state estimation based on deep transfer learning 期刊论文
APPLIED ENERGY, 2022, 卷号: 316, 页码: 8
Authors:  Li, Shuangqi;  He, Hongwen;  Zhao, Pengfei;  Cheng, Shuang
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Transportation electrification  Electric vehicles  Battery energy storage  Deep transfer learning  Battery management system  Battery state estimation  
A light defect detection algorithm of power insulators from aerial images for power inspection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 11
Authors:  Yang, Lei;  Fan, Junfeng;  Song, Shouan;  Liu, Yanhong
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Insulator location  Defect identification  Transfer learning  Dempster-Shafer evidence theory  
Partner learning: A comprehensive knowledge transfer for vehicle re-identification 期刊论文
NEUROCOMPUTING, 2022, 卷号: 480, 页码: 89-98
Authors:  Qian, Wen;  He, Zhiqun;  Chen, Chen;  Peng, Silong
Favorite  |  View/Download:26/0  |  Submit date:2022/06/06
Vehicle Re-ID  Partner learning  Knowledge transfer  Neural network  
Incremental few-shot object detection via knowledge transfer 期刊论文
PATTERN RECOGNITION LETTERS, 2022, 卷号: 156, 页码: 67-73
Authors:  Feng, Hangtao;  Zhang, Lu;  Yang, Xu;  Liu, Zhiyong
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Machine learning  Convolutional neural networks  Transfer learning  Incremental few-shot object detection  
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
Authors:  Lu, Chao;  Lv, Chen;  Gong, Jianwei;  Wang, Wenshuo;  Cao, Dongpu;  Wang, Fei-Yue
Favorite  |  View/Download:23/0  |  Submit date: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  
Trans-ResNet: Integrating Transformers and CNNs for Alzheimer's disease classification 会议论文
, 印度,加尔各答, 2022-3-28
Authors:  Li C(李超);  Cui Y(崔玥);  Luo N(罗娜);  Liu Y(刘勇);  Bourgeat Pierrick;  Fripp Jurgen;  Jiang TZ(蒋田仔)
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convolutional neural network  deep learning  structural MRI  transfer learning  Transformer  
Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19 期刊论文
APPLIED ENERGY, 2022, 卷号: 309, 页码: 10
Authors:  Hu, Chenxi;  Zhang, Jun;  Yuan, Hongxia;  Gao, Tianlu;  Jiang, Huaiguang;  Yan, Jing;  Gao, David Wenzhong;  Wang, Fei-Yue
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Transfer learning  Black swan event  Small-sample learning  COVID-19  Load forecasting  
A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features 期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2022, 卷号: 83, 页码: 11
Authors:  Liu, Yanhong;  Song, Shouan;  Yang, Lei;  Bian, Guibin;  Yu, Hongnian
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Dynamic gesture understanding  Transfer learning  Feature fusion  Dempster-Shafer evidence theory  Support vector machine  
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1933-1942
Authors:  Yao, Hantao;  Min, Shaobo;  Zhang, Yongdong;  Xu, Changsheng
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Semantics  Visualization  Bridges  Training  Knowledge transfer  Image recognition  Topology  Transductive Zero-Shot Learning  Graph Attribute Embedding  Attribute-Induced Bias Eliminating  Semantic-Visual Alignment