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CASIA OpenIR
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Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文
IEEE SENSORS JOURNAL, 2022, 页码: 1-1
作者:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao
Adobe PDF(5175Kb)  |  收藏  |  浏览/下载：287/114  |  提交时间：2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
Cross-attention-map-based regularization for adversarial domain adaptation 期刊论文
NEURAL NETWORKS, 2022, 卷号: 145, 页码: 128-138
作者:  Jingwei, Li;  Huanjie, Wang;  Ke, Wu;  Chengbao, Liu;  Jie, Tan
收藏  |  浏览/下载：193/0  |  提交时间：2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning  
A novel approach to obtain optimal exposure for 3D shape reconstruction of high dynamic range objects 期刊论文
Measurement Science and Technology, 2021, 卷号: 32, 期号: 9, 页码: 1-1
作者:  Wu,Ke;  Tan,Jie;  Liu,Chengbao
Adobe PDF(18867Kb)  |  收藏  |  浏览/下载：253/40  |  提交时间：2021/08/15
structured light  fringe projection  3D reconstruction  auto-exposure  
Few-shot learning approach for 3D defect detection in lithium battery 期刊论文
Journal of Physics: Conference Series, 2021, 卷号: 1884, 期号: 1, 页码: 012024
作者:  Wu,Ke;  Tan,Jie;  Li,Jingwei;  Liu,Chengbao
Adobe PDF(4836Kb)  |  收藏  |  浏览/下载：237/48  |  提交时间：2021/05/24
Anomaly Detection  Few-shot Learning  
An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 5, 页码: 6314-6324
作者:  Wu, Ke;  Tan, Jie;  Xia, Hai Lun;  Liu, Cheng Bao
Adobe PDF(5488Kb)  |  收藏  |  浏览/下载：319/58  |  提交时间：2021/03/29
Surface reconstruction  Three-dimensional displays  Image reconstruction  Stereo vision  Reflective binary codes  Cameras  Sensors  Structured light  stereo vision  3D reconstruction  image fusion