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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：8/0  |  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  
Reparameterizing and dynamically quantizing image features for image generation 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 146, 页码: 11
作者:  Sun, Mingzhen;  Wang, Weining;  Zhu, Xinxin;  Liu, Jing
Adobe PDF(3612Kb)  |  收藏  |  浏览/下载：95/9  |  提交时间：2023/12/21
Vector quantization  Variational auto-encoder  Unconditional image generation  Text-to-image generation  Autoregressive generation  
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：98/22  |  提交时间：2024/01/17
Remote sensing super-resolution  lightweight diffusion models  cross-attention mechanism  satellite imagery  
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：14/0  |  提交时间：2024/03/26
Gait recognition  self-supervised  contrastive learning  GaitSSB  GaitLU-1M  
Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 6, 页码: 1237-1249
作者:  Bai, Gui-Rong;  Liu, Qing-Bin;  He, Shi-Zhu;  Liu, Kang;  Zhao, Jun
收藏  |  浏览/下载：10/0  |  提交时间：2024/03/26
unsupervised domain adaptation  sentence matching  self-supervision  
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：33/10  |  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：19/0  |  提交时间：2024/02/22
Curriculum learning  domain adaptive object detection  location metric  task disentanglement  
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：51/0  |  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：59/0  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
Motion Decoupling Network for Intra-Operative Motion Estimation Under Occlusion 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 10, 页码: 2924-2935
作者:  Bian, Gui-Bin;  Zhang, Li;  Chen, He;  Li, Zhen;  Fu, Pan;  Yue, Wen-Qian;  Luo, Yu-Wen;  Ge, Pei-Cong;  Liu, Wei-Peng
收藏  |  浏览/下载：99/0  |  提交时间：2023/12/21
Optical flow  Surgery  Instruments  Estimation  Task analysis  Videos  Motion estimation  Computer-assisted surgery  motion estimation  optical flow  self-supervised learning  surgical images