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Gaze estimation with semi-supervised eye landmark detection as an auxiliary task 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 146, 页码: 11
作者:  Sun, Yunjia;  Zeng, Jiabei;  Shan, Shiguang
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Computer vision  Gaze estimation  Semi-supervised learning  
QoE-Driven Antenna Tuning in Cellular Networks With Cooperative Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 2, 页码: 1186-1199
作者:  Liu, Xuewen;  Chuai, Gang;  Wang, Xin;  Xu, Zhiwei;  Gao, Weidong;  Zhang, Kaisa;  Liu, Qian;  Maimaiti, Saidiwaerdi;  Zuo, Peiliang
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Antenna tuning  multi-goal MARL  QoE/QoS mapping  self-optimization  
Self-supervised noise modeling and sparsity guided electron tomography volumetric image denoising 期刊论文
ULTRAMICROSCOPY, 2024, 卷号: 255, 页码: 11
作者:  Yang, Zhidong;  Zang, Dawei;  Li, Hongjia;  Zhang, Zhao;  Zhang, Fa;  Han, Renmin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Electron tomography  Image denoising  Self-supervised learning  
Enhancing Face Recognition With Detachable Self-Supervised Bypass Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1588-1599
作者:  He, Mingjie;  Zhang, Jie;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Face recognition  Task analysis  Three-dimensional displays  Training  Supervised learning  Self-supervised learning  Image reconstruction  bypass enhanced representation learning  3D reconstruction bypass  blind inpainting bypass  
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28, 期号: 1, 页码: 7-18
作者:  Yan, Rui;  Lv, Zhilong;  Yang, Zhidong;  Lin, Senlin;  Zheng, Chunhou;  Zhang, Fa
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Hierarchical representation  pathological image analysis  sparse transformer  survival analysis  
Multi-scale conditional reconstruction generative adversarial network 期刊论文
IMAGE AND VISION COMPUTING, 2024, 卷号: 141, 页码: 9
作者:  Chen, Yanming;  Xu, Jiahao;  An, Zhulin;  Zhuang, Fuzhen
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Generative adversarial network  Unsupervised generation  Multi-scale instance  Reconstructed losses  
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 12, 页码: 12068-12080
作者:  Zhang, Yuxin;  Wang, Jindong;  Chen, Yiqiang;  Yu, Han;  Qin, Tao
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Unsupervised anomaly detection  time series  self-supervised learning  memory network  
Large Scale Visual Food Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9932-9949
作者:  Min, Weiqing;  Wang, Zhiling;  Liu, Yuxin;  Luo, Mengjiang;  Kang, Liping;  Wei, Xiaoming;  Wei, Xiaolin;  Jiang, Shuqiang
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Image recognition  Visualization  Task analysis  Benchmark testing  Representation learning  Training  Semantics  Food dataset  food recognition  large-scale datasets  fine-grained recognition  
General Greedy De-Bias Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9789-9805
作者:  Han, Xinzhe;  Wang, Shuhui;  Su, Chi;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Task analysis  Correlation  Training  Data models  Question answering (information retrieval)  Visualization  Image classification  Curriculum learning  dataset biases  greedy strategy  robust learning  
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 3, 页码: 633-646
作者:  Zhao, Ziyuan;  Zhou, Fangcheng;  Xu, Kaixin;  Zeng, Zeng;  Guan, Cuntai;  Zhou, S. Kevin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Image segmentation  Adaptation models  Biomedical imaging  Annotations  Adversarial machine learning  Magnetic resonance imaging  Training  Unsupervised domain adaptation  medical image segmentation  cross-modality learning  semi-supervised learning  adversarial learning