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Towards Prior Gap and Representation Gap for Long-tailed Recognition, Pattern Recognition 期刊论文
Pattern Recognition, 2023, 卷号: 133, 期号: 109012, 页码: 109012
作者:  Zhang Ming-Liang;  Zhang Xu-Yao;  Wang Chang;  Liu Cheng-Lin
Adobe PDF(2258Kb)  |  收藏  |  浏览/下载：66/13  |  提交时间：2024/04/03
Long-tailed learning  Prior gap  Representation gap  Image recognition  
Indirect estimation of pediatric reference interval via density graph deep embedded clustering 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 卷号: 169, 页码: 10
作者:  Zheng, Jianguo;  Tang, Yongqiang;  Peng, Xiaoxia;  Zhao, Jun;  Chen, Rui;  Yan, Ruohua;  Peng, Yaguang;  Zhang, Wensheng
收藏  |  浏览/下载：20/0  |  提交时间：2024/03/27
Reference interval  Reference interval  Indirect estimation  Indirect estimation  Machine learning  Machine learning  Deep neural networks  Deep neural networks  Graph clustering  Graph clustering  
Learning Gait Representation From Massive Unlabelled Walking Videos: A Benchmark 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14920-14937
作者:  Fan, Chao;  Hou, Saihui;  Wang, Jilong;  Huang, Yongzhen;  Yu, Shiqi
收藏  |  浏览/下载：21/0  |  提交时间：2024/03/26
Gait recognition  self-supervised  contrastive learning  GaitSSB  GaitLU-1M  
Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 4, 页码: 834-852
作者:  Liu, Qing-Bin;  He, Shi-Zhu;  Liu, Cao;  Liu, Kang;  Zhao, Jun
收藏  |  浏览/下载：27/0  |  提交时间：2024/02/22
end-to-end task-oriented dialogue  dialogue state tracking (DST)  unsupervised learning  reinforcement learning  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：42/13  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Liu, Yabo;  Wang, Jinghua;  Xiao, Linhui;  Liu, Chengliang;  Wu, Zhihao;  Xu, Yong
收藏  |  浏览/下载：26/0  |  提交时间：2024/02/22
Curriculum learning  domain adaptive object detection  location metric  task disentanglement  
TR-MISR: Multiimage super-resolution based on feature fusion with transformers 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 卷号: 15, 页码: 1373-1388
作者:  An T(安泰);  Zhang X(张鑫);  Huo CL(霍春雷);  Xue B(薛斌);  Wang LF(汪凌峰);  Pan CH(潘春洪)
Adobe PDF(6058Kb)  |  收藏  |  浏览/下载：116/9  |  提交时间：2024/01/17
Deep learning  end-to-end networks  feature extraction and fusion  multiimage super-resolution (MISR)  remote sensing  transformers  
Efficient Remote Sensing Image Super-Resolution via Lightweight Diffusion Models 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2024, 卷号: 21, 页码: 1-5
作者:  An T(安泰);  Xue B(薛斌);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(30422Kb)  |  收藏  |  浏览/下载：107/23  |  提交时间：2024/01/17
Remote sensing super-resolution  lightweight diffusion models  cross-attention mechanism  satellite imagery  
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning 期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 卷号: 23, 期号: 1, 页码: 19
作者:  An, Yang;  Tang, Haocheng;  Jin, Bo;  Xu, Yi;  Wei, Xiaopeng
收藏  |  浏览/下载：58/0  |  提交时间：2023/12/21
Electronic medical records  Medication prediction  Intelligent healthcare system  Multi-source medical knowledge  Graph contrastive learning  
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
收藏  |  浏览/下载：63/0  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning