Cover Image

Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Enomoto, Shohei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels
by: Wang, Kening, et al.
Published: (2026)

One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
by: Abedi, Ali, et al.
Published: (2025)

Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
by: Schlachter, Pascal, et al.
Published: (2025)

HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization
by: Lee, Daeun, et al.
Published: (2023)

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
by: Chopra, Shivang, et al.
Published: (2024)

EntProp: High Entropy Propagation for Improving Accuracy and Robustness
by: Enomoto, Shohei
Published: (2024)

Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation
by: Thaler, Franz, et al.
Published: (2025)

Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge
by: Wang, Jingge, et al.
Published: (2022)

Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
by: Belal, Atif, et al.
Published: (2024)

Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation
by: Thaler, Franz, et al.
Published: (2025)

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
by: Wang, Yucheng, et al.
Published: (2024)

PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization
by: Zhang, Haoran, et al.
Published: (2024)

Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources
by: Li, Jinlong, et al.
Published: (2024)

Mind the Domain Gap: Measuring the Domain Gap Between Real-World and Synthetic Point Clouds for Automated Driving Development
by: Duc, Nguyen, et al.
Published: (2025)

Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
by: Liao, Christopher, et al.
Published: (2024)

More is Better: Deep Domain Adaptation with Multiple Sources
by: Zhao, Sicheng, et al.
Published: (2024)

Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
by: Wang, Xiaohan, et al.
Published: (2025)

Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization
by: Banerjee, Ayan, et al.
Published: (2026)

Semantic-Rearrangement-Based Multi-Level Alignment for Domain Generalized Segmentation
by: Jiao, Guanlong, et al.
Published: (2024)

GMM-COMET: Continual Source-Free Universal Domain Adaptation via a Mean Teacher and Gaussian Mixture Model-Based Pseudo-Labeling
by: Schlachter, Pascal, et al.
Published: (2026)

Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation
by: Li, Gengxu, et al.
Published: (2025)

Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
by: Lee, Huisoo, et al.
Published: (2025)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
by: Wang, Siqi, et al.
Published: (2025)

Target-Oriented Single Domain Generalization
by: Heidari, Marzi, et al.
Published: (2025)

Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain
by: Chao, Lianying, et al.
Published: (2026)

Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation
by: Periasami, Ajay Vikram, et al.
Published: (2026)

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

Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
by: Zhang, Wenyu, et al.
Published: (2024)

Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology
by: Guichemerre, Alexis, et al.
Published: (2024)

FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free
by: Yuan, Haolin, et al.
Published: (2025)

Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization
by: Wei, Yikang
Published: (2025)

Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
by: Kim, Jaeyeul, et al.
Published: (2023)

Bi-Level Optimization for Single Domain Generalization
by: Heidari, Marzi, et al.
Published: (2026)

What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
by: Wang, Jing, et al.
Published: (2024)

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
by: Wei, Tianxin, et al.
Published: (2025)

Source-Free Domain Adaptation for YOLO Object Detection
by: Varailhon, Simon, et al.
Published: (2024)

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

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
by: Liu, Songhua, et al.
Published: (2024)

Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation
by: Akkaya, Ibrahim Batuhan, et al.
Published: (2022)

Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
by: Maracani, Andrea, et al.
Published: (2024)