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Multi-Source Unsupervised Domain Adaptation

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Showing 1–25 of 46 papers

TitleStatusHype
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesCode2
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object DetectionCode1
Wasserstein Barycenter for Multi-Source Domain AdaptationCode1
Enhancing Domain Adaptation through Prompt Gradient AlignmentCode1
MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher LearningCode1
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object DetectionCode1
Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode1
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacherCode1
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge DistillationCode1
Multi-source Attention for Unsupervised Domain AdaptationCode1
Learning to Combine: Knowledge Aggregation for Multi-Source Domain AdaptationCode1
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain—0
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis—0
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation—0
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis—0
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation—0
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation—0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks—0
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification—0
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation—0
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation—0
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation—0
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization—0
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation—0
Adversarial Multiple Source Domain Adaptation—0
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