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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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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
Training-free image style alignment for domain shift on handheld ultrasound devices
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2025, 卷号: 44, 期号: 4, 页码: 1942-1952
作者:
Hongye Zeng
;
Ke Zou
;
Zhihao Chen
;
Yuchong Gao
;
Hongbo Chen
Adobe PDF(17579Kb)
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浏览/下载:183/5
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提交时间:2024/12/30
Image segmentation
Ultrasonic machine tools
Ultrasonic sensors
Ultrasonic testing
Device data
Domain adaptation
Handheld ultrasound
Handheld ultrasound device
Test time
Test-time domain adaptation
Time domain
Training-free alignment
Ultrasound devices
Ultrasound images
Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2024, 卷号: 43, 期号: 12, 页码: 4483-4495
作者:
Xibao Li
;
Xi Ouyang
;
Jiadong Zhang
;
Zhongxiang Ding
;
Yuyao Zhang
Adobe PDF(2156Kb)
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浏览/下载:256/3
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提交时间:2024/07/15
Image segmentation
Annotations
Biomedical imaging
Accuracy
Lumen
Medical diagnostic imaging
Transfer learning
image segmentation
domain adaptation
segment anything model
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation
会议论文
ARXIV, Palmeraie Conf Ctr,Marrakesh,MOROCCO, OCT 06-10, 2024
作者:
Zeng, Hongye
;
Zou, Ke
;
Chen, Zhihao
;
Zheng, Rui
;
Fu, Huazhu
Adobe PDF(2126Kb)
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浏览/下载:248/1
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提交时间:2024/06/17
Source-Free Unsupervised Domain Adaptation
Uncertainty estimation
Prediction consistency
MRI segmentation
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2024, 卷号: 71, 期号: 4, 页码: 1404-1415
作者:
Huang, Shijie
;
Zhang, Xukun
;
Cui, Zhiming
;
Zhang, He
;
Chen, Geng
Adobe PDF(2402Kb)
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浏览/下载:558/134
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提交时间:2024/01/05
Brain tissue segmentation
cycle-consistency
fetal MRI
unsupervised domain adaptation
Feature Re-Representation and Reliable Pseudo Label Retraining for Cross-Domain Semantic Segmentation
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 3, 页码: 1682-1694
作者:
Jing Li
;
Kang Zhou
;
Shenhan Qian
;
Wen Li
;
Lixin Duan
Adobe PDF(21930Kb)
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浏览/下载:345/0
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提交时间:2022/03/25
Benchmarking
Computer vision
Semantic Segmentation
Adaptation methods
Domain adaptation
Domain feature
Domain-specific information
Feature re-representation
Re-representation
Reliable pseudo label retraining
Semantic segmentation
Target domain
Unsupervised domain adaptation
Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation
预印本
2023
作者:
Zhang, Jingyu
;
Yang, Huitong
;
Wu, Dai-Jie
;
Keung, Jacky
;
Li, Xuesong
Adobe PDF(4889Kb)
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浏览/下载:260/0
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提交时间:2024/01/09
Point Cloud Semantic Segmentation
Unsupervised Domain Adaptation
Cross-modal Transfer Learning
SAM-guided Unsupervised Domain Adaptation for 3D Segmentation
会议论文
ARXIV, null,Milan,ITALY, SEP 29-OCT 04, 2024
作者:
Pengl, Xidong
;
Chen, Runnan
;
Qiao, Feng
;
Kong, Lingdong
;
Liu, Youquan
Adobe PDF(3451Kb)
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浏览/下载:256/1
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提交时间:2024/01/09
Unsupervised Domain Adaptation
3D Segmentation
Feature Alignment
Vision Foundation Model
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection
会议论文
PROCEEDINGS OF THE 37TH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI 2023, Washington, DC, United states, February 7, 2023 - February 14, 2023
作者:
Peng, Xidong
;
Zhu, Xinge
;
Ma, Yuexin
Adobe PDF(7334Kb)
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浏览/下载:265/0
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提交时间:2023/09/08
Artificial intelligence
Geometry
Optical radar
3-D shape
Adaptation methods
Data representations
Domain adaptation
Geometric characteristics
Geometric motion
Motion pattern
Point density
Spatial geometry
Two domains
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening
会议论文
2023 IEEE 20TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), Cartagena, Colombia, 18-21 April 2023
作者:
Liu, Jiyuan
;
Zhang, Xiao
;
Gu, Dongdong
;
Ouyang, Xi
;
Zhang, Jiadong
Adobe PDF(2754Kb)
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收藏
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浏览/下载:416/0
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提交时间:2023/10/07
Artery segmentation
domain adaptation
Bayesian CNN
shape strengthening module
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