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Towards prior gap and representation gap for long-tailed recognition 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Zhang, Ming-Liang;  Zhang, Xu-Yao;  Wang, Chuang;  Liu, Cheng-Lin
收藏  |  浏览/下载：260/0  |  提交时间：2022/11/14
Long-tailed learning  Prior gap  Representation gap  Image recognition  
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载：273/73  |  提交时间：2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
Efficient Center Voting for Object Detection and 6D Pose Estimation in 3D Point Cloud 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 5072-5084
作者:  Guo, Jianwei;  Xing, Xuejun;  Quan, Weize;  Yan, Dong-Ming;  Gu, Qingyi;  Liu, Yang;  Zhang, Xiaopeng
收藏  |  浏览/下载：173/0  |  提交时间：2021/08/15
Three-dimensional displays  Pose estimation  Shape  Object detection  Feature extraction  Object recognition  Transmission line matrix methods  6D pose estimation  3D object recognition  point pair features  3D point cloud  
Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 页码: 32
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun J.;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：229/0  |  提交时间：2021/06/15
biomedical imaging  COVID‐  19  knowledge distillation  meta‐  learning  unsupervised learning  
Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks 期刊论文
Pattern Recognition, 2021, 卷号: 114, 期号: 114, 页码: 107859
作者:  Jun-Yu Ye;  Yan-Ming Zhang;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(1780Kb)  |  收藏  |  浏览/下载：312/87  |  提交时间：2021/03/30
Online handwritten documents  Stroke classification  Text line grouping  Graph neural networks  Edge pooling attention networks