Cover Image

Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Xinyang, Zhu, Chuang, Zhang, Bowen, Zhang, Shanghang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation
by: Huang, Xinyang, et al.
Published: (2025)

Consistent Assistant Domains Transformer for Source-free Domain Adaptation
by: Shao, Renrong, et al.
Published: (2025)

SemiTooth: a Generalizable Semi-supervised Framework for Multi-Source Tooth Segmentation
by: Sun, Muyi, et al.
Published: (2026)

Source-free Video Domain Adaptation by Learning from Noisy Labels
by: Dasgupta, Avijit, et al.
Published: (2023)

Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation
by: Shao, Renrong, et al.
Published: (2025)

SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation
by: Basak, Hritam, et al.
Published: (2025)

CGMatch: A Different Perspective of Semi-supervised Learning
by: Cheng, Bo, et al.
Published: (2025)

Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
by: Yang, Kuo, et al.
Published: (2024)

Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation
by: Chen, Ziyang, et al.
Published: (2024)

PointSFDA: Source-free Domain Adaptation for Point Cloud Completion
by: He, Xing, et al.
Published: (2025)

Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions
by: Zhang, Xingguang, et al.
Published: (2024)

AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
by: Mottaghi, Ali, et al.
Published: (2024)

IIDM: Inter and Intra-domain Mixing for Semi-supervised Domain Adaptation in Semantic Segmentation
by: Fu, Weifu, et al.
Published: (2023)

Proxy Denoising for Source-Free Domain Adaptation
by: Tang, Song, et al.
Published: (2024)

LanDA: Language-Guided Multi-Source Domain Adaptation
by: Wang, Zhenbin, et al.
Published: (2024)

Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
by: Shu, Yangyang, et al.
Published: (2024)

Source-Free Domain Adaptation with Vision-Language Prior
by: Tang, Song, et al.
Published: (2026)

Impact of Strategic Sampling and Supervision Policies on Semi-supervised Learning
by: Roy, Shuvendu, et al.
Published: (2022)

Propensity-driven Uncertainty Learning for Sample Exploration in Source-Free Active Domain Adaptation
by: Pan, Zicheng, et al.
Published: (2025)

SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation
by: Zhao, Yitao, et al.
Published: (2024)

A Multi-View Consistency Framework with Semi-Supervised Domain Adaptation
by: Hong, Yuting, et al.
Published: (2026)

Unified Source-Free Domain Adaptation
by: Tang, Song, et al.
Published: (2024)

An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation
by: Luo, Zihao, et al.
Published: (2024)

Energy-Based Pseudo-Label Refining for Source-free Domain Adaptation
by: Meng, Xinru, et al.
Published: (2025)

Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
by: Zhang, Xuerong, et al.
Published: (2024)

MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization
by: Qi, Lei, et al.
Published: (2022)

Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning
by: Zhang, Ziqi, et al.
Published: (2025)

Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification
by: Qixiang, Zhang, et al.
Published: (2024)

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
by: Liu, Jiaming, et al.
Published: (2023)

Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot Segmentation
by: Huang, Xinyang, et al.
Published: (2024)

Dual-supervised Asymmetric Co-training for Semi-supervised Medical Domain Generalization
by: Song, Jincai, et al.
Published: (2025)

Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition
by: Zheng, Ying, et al.
Published: (2025)

Agile Multi-Source-Free Domain Adaptation
by: Li, Xinyao, et al.
Published: (2024)

Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
by: Li, Jiaming, et al.
Published: (2024)

Learning to Label: A Reinforced Self-Evolving Framework for Semi-supervised Referring Expression Segmentation
by: Cao, Runlong, et al.
Published: (2026)

Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
by: Nejjar, Ismail, et al.
Published: (2024)

Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
by: Chen, Xi, et al.
Published: (2024)

Inter-Domain Mixup for Semi-Supervised Domain Adaptation
by: Li, Jichang, et al.
Published: (2024)

BEVUDA++: Geometric-aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection
by: Zhang, Rongyu, et al.
Published: (2025)

SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal
by: Long, Fang, et al.
Published: (2024)