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Noise Perception Self-Supervised Learning for Unsupervised Person Re-Identification
期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2025
作者:
Jingya Wang
;
Jianfeng Wen
;
Weiping Ding
;
Chunlin Yu
;
Xiatian Zhu
Adobe PDF(6772Kb)
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收藏
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浏览/下载:64/2
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提交时间:2025/04/14
Adversarial machine learning
Contrastive Learning
Federated learning
Unsupervised learning
Domain adaptation
Identification method
Independent sources
Learning paradigms
Noise perception
Person re identifications
Self
paced learning
Tracking
Tracklets
Transfer learning
Multi-level fine-grained center calibration network for unsupervised person re-identification
期刊论文
MULTIMEDIA SYSTEMS, 2025, 卷号: 31, 期号: 2
作者:
Che, Haojie
;
Zhao, Jiacheng
;
Li, Yongxi
Adobe PDF(1539Kb)
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浏览/下载:37/2
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提交时间:2025/03/28
Benchmarking
Contrastive Learning
Feature extraction
Self-supervised learning
Supervised learning
Unsupervised learning
Calibration network
Camera view
Cluster centers
Feature extractor
Fine grained
Local feature
Multilevels
Person re identifications
Pseudo label
Unsupervised person re-identification
Digging Through the Archives: Recovering Isotropic MRI From Arbitrary-Resolution Anisotropic Scans via Self-Supervised Deep Learning
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2025
作者:
Haonan Zhang
Adobe PDF(5426Kb)
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浏览/下载:23/7
|
提交时间:2025/03/11
Magnetic Resonance Imaging
Arbitrary-Scales Super-Resolution
High-Resolution Isotropic MRI Reconstruction
Implicit Neural Representation
Self-supervised Learning
Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 6, 2024 - October 6, 2024
作者:
Huang, Shijie
;
Zhang, Kai
;
Huang, Jiawei
;
Kong, Lingnan
;
Zhu, Fangmei
收藏
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浏览/下载:268/0
|
提交时间:2024/11/29
Brain mapping
Deep learning
Image coding
Image enhancement
Image segmentation
Labeled data
Neonatal monitoring
Nuclear magnetic resonance
Self-supervised learning
Semi-supervised learning
Brain regions
Data augmentation
Fetal brain
Fine grained
Hierarchical model
Hierarchical network
Human Connectome
Segmentation
Semi-supervised learning
Simple++
Decentralized Over-the-Air Federated Learning in Full-Duplex MIMO Networks
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 卷号: 23, 期号: 12, 页码: 19142-19156
作者:
Zhibin Wang
;
Yong Zhou
;
Yuanming Shi
Adobe PDF(17076Kb)
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浏览/下载:380/2
|
提交时间:2024/10/28
Beam forming networks
Fading channels
Decentralised
Device-to-Device communications
Full duplex communication
Full-duplex
Learning performance
Model aggregations
Model training
Over the airs
Over-the-air computation
Self-interferences
SEE: Semantically Aligned EEG-to-Text Translation
预印本
2024
作者:
Tao, Yitian
;
Liang, Yan
;
Wang, Luoyu
;
Li, Yongqing
;
Yang, Qing
收藏
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浏览/下载:273/0
|
提交时间:2024/10/14
EEG-to-Text
self-supervised learning
multi- modality
Self-learning Canonical Space for Multi-view 3D Human Pose Estimation
预印本
2024
作者:
Li, Xiaoben
;
Meng, Mancheng
;
Wu, Ziyan
;
Chen, Terrence
;
Yang, Fan
Adobe PDF(11366Kb)
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收藏
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浏览/下载:229/1
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提交时间:2024/05/15
Human Pose Estimation
Multi-view
Self-learning
Multi-Modality is All You Need for Transferable Recommender Systems
会议论文
PROCEEDINGS - INTERNATIONAL CONFERENCE ON DATA ENGINEERING, Utrecht, Netherlands, May 13, 2024 - May 17, 2024
作者:
Li, Youhua
;
Du, Hanwen
;
Ni, Yongxin
;
Zhao, Pengpeng
;
Guo, Qi
Adobe PDF(1043Kb)
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收藏
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浏览/下载:321/79
|
提交时间:2024/08/23
Behavioral research
Learning systems
Signal encoding
Cross-modal
ID-based
Learning objectives
Multi-modal
Multi-modal learning
Multi-modality
Self-supervised learning
Transfer learning
Transition patterns
Unique identifiers
Recommender System
Multi-modal Learning
Transfer Learning
Self-supervised Learning
Harmonizing Generalization and Personalization in Federated Prompt Learning
会议论文
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, Vienna, Austria, July 21, 2024 - July 27, 2024
作者:
Cui, Tianyu
;
Li, Hongxia
;
Wang, Jingya
;
Shi, Ye
Adobe PDF(854Kb)
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收藏
|
浏览/下载:257/6
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提交时间:2024/10/11
Adversarial machine learning
Contrastive Learning
Self-supervised learning
Transfer learning
Visual languages
Data heterogeneity
Domain levels
Generalisation
Generalization capability
Generalization capacity
Heterogeneous data
Knowledge guidances
Language model
Modeling abilities
Personalizations
Machine Learning with Real-time and Small Footprint Anomaly Detection System for In-Vehicle Gateway
会议论文
2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), Singapore, Singapore, 19-22 May 2024
作者:
Yi Wang
;
Yuanjin Zheng
;
Yajun Ha
Adobe PDF(321Kb)
|
收藏
|
浏览/下载:420/76
|
提交时间:2024/07/08
Anomaly detection
Control systems
Data description
Deep learning
Hidden Markov models
MATLAB
Signal encoding
Abnormal behavior
Anomaly detection systems
Electronics control unit
Gateway
Machine-learning
Real- time
Self information
Small footprints
Time budget
Time limited
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