CASIA OpenIR

浏览/检索结果: 共61条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Learnable Graph Matching: A Practical Paradigm for Data Association 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 卷号: 46, 期号: 7, 页码: 4880-4895
作者:  He, Jiawei;  Huang, Zehao;  Wang, Naiyan;  Zhang, Zhaoxiang
Adobe PDF(3520Kb)  |  收藏  |  浏览/下载:40/9  |  提交时间:2024/06/18
Graph matching  data association  multiple object tracking  image matching  
A robust transformer-based pipeline of 3D cell alignment, denoise and instance segmentation on electron microscopy sequence images 期刊论文
Journal of Plant Physiology, 2024, 页码: 154236
作者:  Jiazheng, Liu;  Yafeng, Zheng;  Limei, Lin;  Jingyue, Guo;  Yanan, Lv;  Jingbin, Yuan;  Hao, Zhai;  Xi, Chen;  Lijun, Shen;  LinLin, Li;  Shunong, Bai;  Hua, Han
Adobe PDF(15549Kb)  |  收藏  |  浏览/下载:36/10  |  提交时间:2024/06/11
Pavement Defect Detection with Deep Learning: A Comprehensive Survey 期刊论文
IEEE Transactions on Intelligent Vehicles, 2023, 卷号: 9, 期号: 3, 页码: 4292 - 4311
作者:  Lili Fan;  Dandan Wang;  Junhao Wang;  Yunjie Li;  Yifeng Cao;  Yi Liu;  Xiaoming Chen;  Yutong Wang
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载:51/13  |  提交时间:2024/06/06
Deep learning  pavement defect detection  computer vision  image processing  3D image  
Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems 期刊论文
IEEE Transactions on Computational Social Systems, 2023, 页码: 1-10
作者:  Yansong Cao;  Yutong Wang;  Jiangong Wang;  Yonglin Tian;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(2150Kb)  |  收藏  |  浏览/下载:43/14  |  提交时间:2024/06/06
Imaging  Inspection  Image segmentation  Image quality  Hardware  Training  Software  Automated optical inspection (AOI)  parallel printed circuit board (PCB) inspection  parameter identification  parameter refinement  
Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 页码: 1-17
作者:  Qu Z(屈震);  Tao X(陶显);  Shen F(沈飞);  Zhang ZT(张正涛);  Li T(李涛)
Adobe PDF(2869Kb)  |  收藏  |  浏览/下载:41/17  |  提交时间:2024/06/04
Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo
Adobe PDF(2164Kb)  |  收藏  |  浏览/下载:117/17  |  提交时间:2024/02/22
Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition  
CGFormer: ViT-Based Network for Identifying Computer-Generated Images With Token Labeling 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 235-250
作者:  Quan, Weize;  Deng, Pengfei;  Wang, Kai;  Yan, Dong-Ming
Adobe PDF(2517Kb)  |  收藏  |  浏览/下载:87/7  |  提交时间:2024/02/22
CG image forensics  transformer  token labeling  generalization  robustness  
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;  Zhao, Fang;  Zhang, Shanghang;  Shan, Caifeng
Adobe PDF(6718Kb)  |  收藏  |  浏览/下载:148/45  |  提交时间:2024/02/22
Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)  
GRAMO: geometric resampling augmentation for monocular 3D object detection 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2024, 卷号: 18, 期号: 5, 页码: 9
作者:  Guan, He;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2242Kb)  |  收藏  |  浏览/下载:108/3  |  提交时间:2024/02/21
3D detection  monocular  augmentation  geometry  
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;  Hui, Hui
Adobe PDF(6341Kb)  |  收藏  |  浏览/下载:200/17  |  提交时间:2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework