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Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation 会议论文
, 加拿大温哥华市, 2.22-3.1
作者:  Jie Qin;  Jie Wu;  Xuefeng Xiao;  Lujun Li;  Xingang Wang
Adobe PDF(4915Kb)  |  收藏  |  浏览/下载：37/13  |  提交时间：2024/06/04
A Spraying Path Planning Algorithm Based on Point Cloud Segmentation and Trajectory Sequence Optimization 期刊论文
International Journal of Control, Automation, and Systems, 2023, 页码: 16
作者:  Ruxiang Hua;  Hongxuan Ma;  Wei Zou;  Wei Zhang;  Zhuo Wang
Adobe PDF(24596Kb)  |  收藏  |  浏览/下载：217/53  |  提交时间：2023/07/03
Spraying robot  trajectory sequence optimization  optimal spraying trajectory  surface segmentation  point cloud  
Automatic Unsupervised Fabric Defect Detection Based on Self-Feature Comparison 期刊论文
ELECTRONICS, 2021, 卷号: 10, 期号: 21, 页码: 14
作者:  Peng, Zhengrui;  Gong, Xinyi;  Wei, Bengang;  Xu, Xiangyi;  Meng, Shixiong
Adobe PDF(1593Kb)  |  收藏  |  浏览/下载：282/67  |  提交时间：2021/12/28
fabric defect  unsupervised learning  computer vision  deep learning  
EDDs: A series of Efficient Defect Detectors for fabric quality inspection 期刊论文
MEASUREMENT, 2021, 卷号: 172, 期号: 1, 页码: 8
作者:  Zhou, Tong;  Zhang, Jiabin;  Su, Hu;  Zou, Wei;  Zhang, Bohao
Adobe PDF(1132Kb)  |  收藏  |  浏览/下载：344/66  |  提交时间：2021/04/21
Defect detection  Convolutional neural network  Fabric quality inspection  Feature fusion  
Convolutional relation network for skeleton-based action recognition 期刊论文
NEUROCOMPUTING, 2019, 卷号: 370, 期号: 1, 页码: 109-117
作者:  Zhu, Jiagang;  Zou, Wei;  Zhu, Zheng;  Hu, Yiming
Adobe PDF(1981Kb)  |  收藏  |  浏览/下载：450/100  |  提交时间：2020/03/30
Action recognition  Skeleton  Deep learning  Joint interaction  Dilation  Attention  
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks 期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 9, 页码: 15
作者:  Tao Xian;  Zhang Dapeng;  Ma Wenzhi;  Liu Xilong;  Xu De;  Xian Tao
Adobe PDF(3978Kb)  |  收藏  |  浏览/下载：1029/464  |  提交时间：2018/10/02
metallic surface  autoencoder  convolutional neural network  defect detection  
Single image super-resolution using combined total variation regularization by split Bregman Iteration 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 页码: 551-560
作者:  Li, Lin;  Xie, Yuan;  Hu, Wenrui;  Zhang, Wensheng
Adobe PDF(12862Kb)  |  收藏  |  浏览/下载：316/90  |  提交时间：2015/09/18
Super-resolution  Total Variation  Steering Kernel Regression  Split Bregman Iteration  Local Structural Regularity  Non-local Self-similarity