Cargando…

Adaptive Contrastive Learning with Label Consistency for Source Data Free Unsupervised Domain Adaptation

Unsupervised domain adaptation, which aims to alleviate the domain shift between source domain and target domain, has attracted extensive research interest; however, this is unlikely in practical application scenarios, which may be due to privacy issues and intellectual rights. In this paper, we dis...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Xuejun, Stanislawski, Rafal, Gardoni, Paolo, Sulowicz, Maciej, Glowacz, Adam, Krolczyk, Grzegorz, Li, Zhixiong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185254/ https://www.ncbi.nlm.nih.gov/pubmed/35684857 http://dx.doi.org/10.3390/s22114238

Ejemplares similares

Damage Detection for Conveyor Belt Surface Based on Conditional Cycle Generative Adversarial Network
por: Guo, Xiaoqiang, et al.
Publicado: (2022)

A New Deep Model for Detecting Multiple Moving Targets in Real Traffic Scenarios: Machine Vision-Based Vehicles
por: Xu, Xiaowei, et al.
Publicado: (2022)

A New Kinect V2-Based Method for Visual Recognition and Grasping of a Yarn-Bobbin-Handling Robot
por: Han, Jinghai, et al.
Publicado: (2022)

Unsupervised multi-source domain adaptation with no observable source data
por: Jeon, Hyunsik, et al.
Publicado: (2021)

Belt Tear Detection for Coal Mining Conveyors
por: Guo, Xiaoqiang, et al.
Publicado: (2022)

Dual consistent pseudo label generation for multi-source domain adaptation without source data for medical image segmentation
por: Cai, Binke, et al.
Publicado: (2023)

GANana: Unsupervised Domain Adaptation for Volumetric Regression of Fruit
por: Hartley, Zane K. J., et al.
Publicado: (2021)

Real-Time Cerebral Vessel Segmentation in Laser Speckle Contrast Image Based on Unsupervised Domain Adaptation
por: Chen, Heping, et al.
Publicado: (2021)

Synthetic Source Universal Domain Adaptation through Contrastive Learning
por: Cho, Jungchan
Publicado: (2021)

Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images
por: Ren, Jian, et al.
Publicado: (2019)

Unsupervised Domain Adaptive Corner Detection in Vehicle Plate Images
por: Jun, Kyungkoo
Publicado: (2022)

Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models
por: Gómez, Jose L., et al.
Publicado: (2023)

Unsupervised domain adaptation for automated knee osteoarthritis phenotype classification
por: Zhong, Junru, et al.
Publicado: (2023)

Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation
por: Zhai, Zhiwei, et al.
Publicado: (2022)

Spatial Alignment for Unsupervised Domain Adaptive Single-Stage Object Detection
por: Liang, Hong, et al.
Publicado: (2022)

Unsupervised Domain Adaptive 1D-CNN for Fault Diagnosis of Bearing
por: Shao, Xiaorui, et al.
Publicado: (2022)

Unsupervised Black-Box Model Domain Adaptation for Brain Tumor Segmentation
por: Liu, Xiaofeng, et al.
Publicado: (2022)

Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images
por: Thiam, Patrick, et al.
Publicado: (2023)

Domain Adaptation for Pedestrian Detection Based on Prediction Consistency
por: Li-ping, Yu, et al.
Publicado: (2014)

Unsupervised Domain Adaptation for Facial Expression Recognition Using Generative Adversarial Networks
por: Wang, Xiaoqing, et al.
Publicado: (2018)

Unsupervised domain adaptation based COVID-19 CT infection segmentation network
por: Chen, Han, et al.
Publicado: (2021)

Stable Median Centre Clustering for Unsupervised Domain Adaptation Person Re-Identification
por: Guo, Jifeng, et al.
Publicado: (2021)

A 3D reconstruction based on an unsupervised domain adaptive for binocular endoscopy
por: Zhang, Guo, et al.
Publicado: (2022)

Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey
por: Shi, Yongjie, et al.
Publicado: (2022)

TSTELM: Two-Stage Transfer Extreme Learning Machine for Unsupervised Domain Adaptation
por: Zang, Shaofei, et al.
Publicado: (2022)

From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild
por: Wu, Xinlu, et al.
Publicado: (2023)

Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals
por: Latyshev, Pavel, et al.
Publicado: (2023)

Iterative unsupervised domain adaptation for generalized cell detection from brightfield z-stacks
por: Liimatainen, Kaisa, et al.
Publicado: (2019)

Cascading Alignment for Unsupervised Domain-Adaptive DETR with Improved DeNoising Anchor Boxes
por: Geng, Huantong, et al.
Publicado: (2022)

Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation
por: Liu, Xiaofeng, et al.
Publicado: (2023)

Unsupervised Domain Adaptation for Mitigating Sensor Variability and Interspecies Heterogeneity in Animal Activity Recognition
por: Ahn, Seong-Ho, et al.
Publicado: (2023)

Unsupervised Adaptation of Brain-Machine Interface Decoders
por: Gürel, Tayfun, et al.
Publicado: (2012)

A GAN-Based Self-Training Framework for Unsupervised Domain Adaptive Person Re-Identification
por: Li, Yuanyuan, et al.
Publicado: (2021)

Unsupervised Domain Adaptation with Shape Constraint and Triple Attention for Joint Optic Disc and Cup Segmentation
por: Zhang, Fengming, et al.
Publicado: (2022)

Overcoming field variability: unsupervised domain adaptation for enhanced crop-weed recognition in diverse farmlands
por: Ilyas, Talha, et al.
Publicado: (2023)

Unsupervised Domain Adaptation for Vertebrae Detection and Identification in 3D CT Volumes Using a Domain Sanity Loss
por: Sager, Pascal, et al.
Publicado: (2022)

Weighted elastic net for unsupervised domain adaptation with application to age prediction from DNA methylation data
por: Handl, Lisa, et al.
Publicado: (2019)

A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation
por: Ananda, Swathi, et al.
Publicado: (2023)

An Adaptive Homeostatic Algorithm for the Unsupervised Learning of Visual Features
por: Perrinet, Laurent U.
Publicado: (2019)

Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency
por: Shimovolos, Stanislav, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fd932vuvsiq3b960e3ke1tha8f