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基于最大−最小策略的纵向联邦学习隐私保护方法 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 7, 页码: 1373-1388
作者:  李荣昌;  刘涛;  郑海斌;  陈晋音;  刘振广;  纪守领
Adobe PDF(3719Kb)  |  收藏  |  浏览/下载:23/12  |  提交时间:2024/07/25
纵向联邦学习  属性推断攻击  隐私保护  最大−最小策略  工业互联网  
基于计算机视觉的工业金属表面缺陷检测综述 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 7, 页码: 1261-1283
作者:  伍麟;  郝鸿宇;  宋友
Adobe PDF(25552Kb)  |  收藏  |  浏览/下载:11/5  |  提交时间:2024/07/25
表面缺陷检测  计算机视觉  金属表面缺陷  自动化检测  
TextFormer: A Query-based End-to-end Text Spotter with Mixed Supervision 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 704-717
作者:  Yukun Zhai;   Xiaoqiang Zhang;   Xiameng Qin;   Sanyuan Zhao;  Xingping Dong;   Jianbing Shen
Adobe PDF(2312Kb)  |  收藏  |  浏览/下载:26/8  |  提交时间:2024/07/18
End-to-end text spotting  arbitrarily-shaped texts  transformer  mixed supervision  multitask modeling  
Rethinking Polyp Segmentation from An Out-ofdistribution Perspective 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 631-639
作者:  Ge-Peng Ji;  Jing Zhang;  Dylan Campbell;  Huan Xiong;  Nick Barnes
Adobe PDF(2420Kb)  |  收藏  |  浏览/下载:18/7  |  提交时间:2024/07/18
Polyp segmentation  anomaly segmentation  out-of-distribution segmentation  masked autoencoder  abdomen  
Segment Anything Is Not Always Perfect: An Investigationof SAM on Different Real-world Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 617-630
作者:  Wei Ji;   Jingjing Li;   Qi Bi;   Tingwei Liu;  Wenbo Li;   Li Cheng
Adobe PDF(11623Kb)  |  收藏  |  浏览/下载:15/4  |  提交时间:2024/07/18
Segment anything model (SAM)  visual perception  segmentation  foundational model  computer vision  
Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1819-1835
作者:  Kangjia Qiao;  Jing Liang;  Kunjie Yu;  Xuanxuan Ban;  Caitong Yue;  Boyang Qu;  Ponnuthurai Nagaratnam Suganthan
Adobe PDF(2750Kb)  |  收藏  |  浏览/下载:33/13  |  提交时间:2024/07/16
Constrained multi-objective optimization (CMOPs)  evolutionary multitasking  knowledge transfer  single constraint  
Automation 5.0: The Key to Industry 5.0 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1723-1727
作者:  Ljubo Vlacic;  Hailong Huang;  Mariagrazia Dotoli;  Yutong Wang;  Petros A. Ioannou;  Lili Fan;  Xingxia Wang;  Raffaele Carli;  Chen Lv;  Lingxi Li;  Xiaoxiang Na;  Qing-Long Ha;  Fei-Yue Wang
Adobe PDF(2574Kb)  |  收藏  |  浏览/下载:16/7  |  提交时间:2024/07/16
Surface defect detection and semantic segmentation with a novel lightweight deep neural network 期刊论文
Measurement Science and Technology, 2024, 卷号: 35, 期号: 8, 页码: 14
作者:  Huang,Qiang;  Li,Fudong;  Yang,Yuequan;  Tao,Xian;  Li,Wei;  Wang,Xu;  Wang,Yong
收藏  |  浏览/下载:15/0  |  提交时间:2024/07/03
deep learning  surface defect detection  semantic segmentation  lightweight network  
Attention-Based Multiscale Feature Fusion for Efficient Surface Defect Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 10
作者:  Zhao, Yuhao;  Liu, Qing;  Su, Hu;  Zhang, Jiabin;  Ma, Hongxuan;  Zou, Wei;  Liu, Song
收藏  |  浏览/下载:9/0  |  提交时间:2024/07/03
Attention mechanism  feature enhancement  feature fusion  object detection  surface defect detection  
Pixel-Level Contrastive Pretrainer for Industrial Image Representation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Zhu, Bingke;  Chen, Yingying;  Tang, Ming;  Wang, Jinqiao
收藏  |  浏览/下载:13/0  |  提交时间:2024/07/03
Task analysis  Feature extraction  Anomaly detection  Transformers  Production  Inspection  Convolutional neural networks  Ind-2M  industrial image representation  Pixel-level COntrastive (PiCO)  pixel-level contrastive learning  pretrainer